final - pg curiculum_syllabus_r-2013

8/13/2019 Final - PG Curiculum_Syllabus_R-2013

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UNIVERSITY DEPARTMENTS

ANNA UNIVERSITY CHENNAI : CHENNAI 600 025

REGULATION - 2013

CURRICULUM I TO IV SEMESTERS (FULL TIME)

FACULTY OF ELECTRICAL ENGINEERING

M.E. INSTRUMENTATION ENGINEERING

SEMESTER I

SL.NO

COURSECODE

COURSE TITLE L T P C

THEORY

1. MA9XXX Advanced Numerical Methods 3 1 0 42. IN9XXX Transducers and Smart Instruments 3 0 0 33. IN9XXX Process ontrol 3 0 0 3

4. IN9XXX Advanced !i"ital Si"nal Processin" 3 0 0 3

#. IN9XXX Industrial !ata Net$or%s 3 0 0 3&. IN9XXX S'stems Theor' 3 0 0 3PRACTICAL

(. IN9XXX Process ontrol ) Instrumentation *a+orator' 0 0 3 2TOTAL 1 1 3 21

SEMESTER II

SL.NO

COURSECODE


THEORY

1. IN 9XXX Advanced Process ontrol 3 0 0 3

2. IN 9XXX Instrumentation S'stem !esi"n 3 0 2 43. IN 9XXX A,,lied Industrial Instrumentation 3 0 0 34. -1 -lective I 3 0 0 3

#. -2 -lective / II 3 0 0 3&. -3 -lective / III 3 0 0 3

TOTAL 1 0 2 1!


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SEMESTER III

SL.NO

COURSECODE


THEORY

1. -4 -lective I 3 0 0 3

2. -# -lective 3 0 0 3

3. -& -lective I 3 0 0 3

PRACTICAL4. IN 9XXX Proect or% Phase I 0 0 12 &

TOTAL ! 0 12 15

SEMESTER IV

SL.NO

COURSECODE


PRACTICAL1. IN 9XXX Proect or% Phase II 0 0 24 12

TOTAL 0 0 2" 12

TOTAL CREDITS TO #E EARNED FOR THE A$ARD THE DEGREE % 6&

ELECTIVES FOR M.E INSTRUMENTATION ENGINEERING

SL.NO

COURSECODE


1. IN 9XXX Thermal Po$er Plant Instrumentation 3 0 0 3

2. IN 9XXX Instrumentation in Petrochemical Industr' 3 0 0 3

3. IN 9XXX irtual Instrumentation 3 0 0 3

4. IN 9XXX A,,lied iomedical Instrumentation 3 0 0 3#. IN 9XXX A,,lied Sot om,utin" 3 0 0 3&. IN 9XXX 5,timal State -stimation 3 0 0 3(. IN 9XXX S'stem Identiication 3 0 0 36. IN 9XXX 5,timal ontrol 3 0 0 39. IN 9XXX Ada,tive ontrol 3 0 0 310. IN 9XXX 7o+ust ontrol 3 0 0 311 IN 9XXX 8ault/Tolerant ontrol 3 0 0 312. IN 9XXX *SI S'stem !esi"n 3 0 0 3

13. IN 9XXX Industrial !rives and ontrol 3 0 0 314. IN 9XXX r',to"ra,h' and Net$or% Securit' 3 0 0 3

1#. IN 9XXX 7eal Time -m+edded S'stem 3 0 0 3

1&. IN 9XXX Advanced Ima"e Processin" 3 0 0 31(. IN 9XXX ireless Sensor Net$or%s 3 0 0 316. IN 9XXX iosi"nal Processin" 3 0 0 3

19. IN 9XXX Advanced 5,eratin" S'stem 3 0 0 3

20. IN9XXX 7o+otics and Automation 3 0 0 3

21. IN9XXX Instrumentation !ocuments 8or Process Industries 1 0 0 122. IN9XXX Instrumentation Standards 1 0 0 1

23. IN9XXX Saet' Instrumented S'stem 1 0 0 1


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P''*+ O,/

1. To la' a stron" oundation in A,,lied mathematics Instrumentation Process control andAllied su+ects

2. To develo, amon" the students the com,etence to anal':e s'stems develo, models

desi"n controllers and coni"ure automation s'stems

3. To "ive an overvie$ o ,rinci,les o o,eration and com,arative stud' o sensorstransducers and anal':ers.

4. To im,art ,ractical %no$led"e in ,rocess control and desi"n o instrumentation s'stems.

#. To ,re,are students; to $or% in interdisci,linar' areas.

&. To ,re,are students; to have successul career in industr' < 7)! or"ani:ation andacademic institutions.

P''*+ 4/+

a= A+ilit' to solve non/linear al"e+raic dierential and ,artial dierential e>uationsnumericall'.

+= ?ain e@,ertise to ormulate irst ,rinci,les < !ata driven models anal':e models desi"nand im,lement conventional and advanced control schemes.

c= To +e ca,a+le o anal':in" the characteristics merits and demerits o various

instruments used or measurin" %e' ,rocess varia+les.

d= To "et com,etenc' in the selection o a,,ro,riate instruments their maintenance andcali+ration.

e= To +e a+le to desi"n and a+ricate instrumentation s'stems to meet the desireds,eciications.

= To "et ac>uainted $ith various Industrial !ata ommunication ,rotocols Net$or%Securit' and Si"nal Processin" Techni>ues or Process Monitorin" and !ia"nosis.

"= To "ain e@,ertise in the inter,retation o Simulation


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MA9XXX ADVANCED NUMERICAL METHODS L T P C3 1 0 "

COURSE O#ECTIVES

To ma%e the students understand the methodsuations

To ma%e the students understand the methods to numericall' solve set o

simultaneous ordinar' dierential e>uations

To ma%e the students understand the methods to numericall' solve ,artial

dierential e>uations

COURSE OUTCOMES

A+ilit' to solve numericall' set o simultaneous al"e+raic e>uations

A+ilit' to solve numericall' set o simultaneous ordinar' dierential e>uations IP=

A+ilit' to solve numericall' set o Partial dierential e>uations

UNIT-1: ALGE#RAIC EUATIONS !S'stems o linear e>uationsB ?auss -limination method ,ivotin" techni>ues Thomasal"orithm or tridia"onal s'stem Caco+i ?auss Seidel S57 iteration methods / S'stems

o nonlinear e>uationsB 8i@ed ,oint iterations Ne$ton Method -i"envalue ,ro+lemsB ,o$ermethod inverse ,o$er method 8addeev *everrier Method.

UNIT-2B ORDINARY DIFFERENTIAL EUATIONS !7un"e Dutta Methods or s'stem o IPs numerical sta+ilit' Adams/ashorth multiste,method solution o sti 5!-s shootin" method PB 8inite dierence method ortho"onalcollocation method ortho"onal collocation $ith inite element method ?aler%in initeelement method

UNIT-3:FINITE DIFFERENCE METHOD FOR TIME DEPENDENT PARTIALDIFFERENTIAL EUATION

!

Para+olic e>uationsB e@,licit and im,licit inite dierence methods $ei"hted avera"e

a,,ro@imation / !irichlet and Neumann conditions T$o dimensional ,ara+olic e>uations A!I methodE 8irst order h',er+olic e>uations method o characteristics dierent e@,licitand im,licit methodsE numerical sta+ilit' anal'sis method o lines ave e>uationB -@,licitscheme/ Sta+ilit' o a+ove schemes

UNIT-": FINITE DIFFERENCE METHODS FOR ELLIPTIC EUATIONS !*a,lace and PoissonFs e>uations in a rectan"ular re"ionB 8ive ,oint inite dierenceschemes *ei+mannFs iterative methods !irichlet and Neumann conditions *a,lacee>uation in ,olar coordinatesB inite dierence schemes a,,ro@imation o derivatives neara curved +oundar' $hile usin" a s>uare mesh.

UNIT-5: FINITE ELEMENT METHOD !Partial dierential e>uations 8inite element method / ortho"onal collocation method

ortho"onal collocation $ith inite element method ?aler%in inite element method.

T*7 P'8 : "5


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REFERENCE #OO9S

1. Saum'en ?uha and 7aesh Srivastava GNumerical methods or -n"ineerin" andScienceH5@ord i"her -ducation 2010.

2. 7. *. urden and C. !. 8aires GNumerical Anal'sisE Theor' and A,,licationsH India-dition en"a"e *earnin" 2010.

3. Santosh D ?u,ta GNumerical Methods or -n"ineersH Ne$ A"e International P=*imitedPu+lishers 199#.

". Mahinder Dumar Cain S.7.D I'en"ar 7.D.Cain om,utational Methods or Partial!ierential ->uations Ne$ A"e International 1994.

5. D..Morton and !.8.Ma'ers GNumerical Solution o Partial !ierential ->uationsam+rid"e Jniversit' Press Second -dition 200#.

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IN !uanti' the uncertainties in measurement data.

ill have the ca,a+ilit' to desi"n and develo, customi:ed smart sensors. Ac>uire a com,rehensive Dno$led"e o manuacturin" techni>ues and desi"n

as,ects o micro sensors and actuators

?et e@,osure to latest sensor technolo"' and advanced measurement

Methodolo"ies.UNIT-1: OVERVIE$ OF CONVENTIONAL TRANSDUCERS AND ITSCHARACTERISTICS

!

5vervie$ o conventional sensors / 7esistive a,acitive Inductive Pie:oelectricMa"netostrictive and all eect sensors / Static and !'namic haracteristics ands,eciications.

UNIT-2: MEASUREMENT ERROR AND UNCERTAINTY ANALYSIS !

Im,ortance o error anal'sis / Jncertainties ,recision and accurac' in measurement/7andom errors / !istri+utions mean $idth and standard error / Jncertaint' as,ro+a+ilit' / ?aussian and Poisson ,ro+a+ilit' distri+ution unctions conidence limitserror +ars and central limit theorem / -rror ,ro,a"ation / sin"le and multi/varia+leunctions ,ro,a"atin" error in unctions / !ata visuali:ation and reduction / *easts>uare ittin" o com,le@ unctions.UNIT-3: SMART SENSORS !!einition Inte"rated smart sensors / Interace electronics / !esi"n sensin" elementsand ,arasitic eects A! Accurac' and !'namic ran"e / Jniversal Sensor Interace converters / ront end circuits !AK !esi"n / !i"ital conversion techni>ues /Microcontrollers and di"ital si"nal ,rocessors or smart sensors selection / Timer

Analo" com,arator A! and !A modules / Standards or smart sensor interace.

UNIT-": MICRO SENSORS AND ACTUATORS !Micro s'stem desi"n and a+rication Micro ,ressure sensors Pie:o resistive anda,acitive= 7esonant sensors Acoustic $ave sensors io micro sensors Microactuators Micro mechanical motors and ,um,s/ Introduction to Nano sensors.

UNIT-5: RECENT TRENDS IN SENSOR TECHNOLOGIES !Thic% ilm and thin ilm sensors/ -lectro chemical sensors 78I!s / Sensor arra's /Sensor net$or% / Multisensor data usion / Sot sensor.


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T*7 P'8 : "5

REFERENCE #OO9S

1 -rnest 5 !oe+elinand!hanesh N Mani% GMeasurement S'stems A,,lication and!esi"nH #th-dition Tata Mc/?ra$ ill 2009.

2 Ian ?. u"hes and Thomas P.A. ase Measurements and their JncertaintiesB APractical ?uide to Modern -rror Anal'sis 5@ord Jniversit' Press 2010.

3 ?erord .M. Meier Smart Sensor S'stems Cohn ile' and Sons 2006.

" Tai/7an su Mems and Micro S'stemsB !esi"n and Manuacture Tata Mc?ra$ill 2002.

5 !. Patrana+is GSensors and TransducersH Second -dition PI 2004.

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http://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=Ernest+Doebelinhttp://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=Dhanesh+Manikhttp://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=Ernest+Doebelinhttp://www.tatamcgrawhill.com/cgi-bin/same_author.pl?author=Dhanesh+Manik


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IN ! === PROCESS CONTROL L T P C3 0 0 3

COURSE O#ECTIVES

To "ive an overvie$ o the eatures associated $ith Industrial T',e PI! ontroller such

as reset $indu, +um,less auto/manual transer ,ro,ortional %ic% and derivative %ic%.

To ma%e the students understand the various PI! tunin" methods To ela+orate dierent t',es o control schemes such as cascade control eed/or$ard

control !M ?P Inerential control schemes Multi/varia+le control schemes etc.

COURSE OUTCOMES

A+ilit' to A,,l' %no$led"e o mathematics science and en"ineerin" to the +uild and

anal':e models or lo$ level and thermal ,rocesses

A+ilit' to determine the advanced 8eatures su,,orted +' the Industrial T',e PI!

ontroller.

A+ilit' to !esi"n tune and im,lement SIS5 P MULTI-LOOP REGULATORY CONTROL !Multivaria+le S'stems Transer Matri@ 7e,resentation Poles and eros o MIM5 S'stem /Multivaria+le re>uenc' res,onse anal'sis / !irections in multivaria+le s'stems / Sin"ular valuedecom,osition / Multi/loo, ontrol / Introduction Process Interaction Pairin" o In,uts and5ut,uts /The 7elative ?ain Arra' 7?A= Pro,erties and A,,lication o 7?A / Multi/loo, PI!ontroller i""est *o" Modulus Tunin" Method / !ecou,lin" ontrol

UNIT- 5: MULTIVARIA#LE REGULATORY CONTROL > CASE ?STUDIES !Introduction to Multivaria+le control Multivaria+le PI! ontroller /Multivaria+le IM Multivaria+le !'namic Matri@ ontroller / Multi,le Model +ased Predictive ontroller Predictive


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PI! ontrol / ontrol Schemes or !istillation olumn ST7 ioreactor 8our/tan% s'stem ,and ,ol'meri:ation reactor.

T*7 P'8 : "5REFERENCE #OO9S

1 .a'ne e>uette GProcess ontrolB Modelin" !esi"n and SimulationH Prentice all oIndia 2004.

2 !ale -. Se+or" !uncan A. Mellicham, Thomas 8. -d"ar and8rancis C. !o'le IIIGProcess !'namics and ontrolH Cohn ile' and Sons 3rd -dition 2010.

3 Cose A. 7oma"noli and Ahmet Pala:o"lu OIntroduction to Process ontrolO 7 PressTa'lor and 8rancis ?rou, Second -dition 8irst Indian 7e,rint 2010.

" oleman rosilo$ and a+u Cose,h OTechni>ues o Model/+ased ontrolO Prentice allInternational Series PT7 Ne$ Cerse' 2001.

#*/ ;
http://as.wiley.com/WileyCDA/Section/id-302477.html?query=Dale+E.+Seborghttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Duncan+A.+Mellichamphttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Thomas+F.+Edgarhttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Francis+J.+Doyle%2C+IIIhttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Francis+J.+Doyle%2C+IIIhttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Dale+E.+Seborghttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Duncan+A.+Mellichamphttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Thomas+F.+Edgarhttp://as.wiley.com/WileyCDA/Section/id-302477.html?query=Francis+J.+Doyle%2C+III


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IN!uenc' res,onse o *TI s'stems / !iscrete 8ourierTransorm / 8ast 8ourier Transorm al"orithmsB !ecimation in time and decimation inre>uenc' al"orithm / !i"ital iltersB 8I7 ilter II7 ilter.UNIT-2: RANDOM SIGNAL PROCESSING AND SPECTRUM ESTIMATION !!iscrete random ,rocesses / -@,ectation ariance Parseval;s Theorem iener Dhintchine7elation / Po$er s,ectral densit' / Periodo"ram Sam,le autocorrelation / Sumdecom,osition theorem S,ectral actori:ation theorem / Non/,arametric methods / orrelationmethod / o/variance estimator / onsistent estimators /Periodo"ram estimator / arletts,ectrum estimation / elch estimation / Model +ased a,,roach / A7 MA A7MA si"nal

modelin" / Parameter estimation usin" ule/al%er method.

UNIT-3: LINEAR ESTIMATION AND PREDICTION !

Ma@imum li%elihood criterion / eicienc' o estimator / *east mean s>uared error criterion /iener ilter / !iscrete iener o e>uations / 7ecursive estimators / Dalman ilter / *inear,rediction ,rediction error / $hitenin" ilter inverse ilter / *evinson recursion *atticereali:ation and *evinson recursion al"orithm or solvin" Toe,lit: s'stem o e>uations.

UNIT-": ADAPTIVE FILTERS !8I7 ada,tive ilters / Ne$ton;s stee,est descent method / Ada,tive ilter +ased on stee,estdescent method / idro$ o *MS ada,tive al"orithm / Ada,tive channel e>uali:ation /

Ada,tive echo chancellor / Ada,tive noise cancellation / 7*S ada,tive ilters / -@,onentiall'

$ei"hted 7*S / Slidin" $indo$ 7*S / Sim,liied II7 *MS ada,tive ilter.

UNIT-5: MULTIRATE DIGITAL SIGNAL PROCESSING !Mathematical descri,tion o chan"e o sam,lin" rate / Inter,olation and !ecimation /continuous time model / !irect di"ital domain a,,roach / !ecimation +' an inte"er actor /Inter,olation +' an inte"er actor / Sin"le and multista"e reali:ation / ,ol' ,hase reali:ation /

A,,lication to su+ +and codin" / avelet transorm and ilter +an% im,lementation o $avelete@,ansion o si"nals.

T*7 P'8 : "5


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REFERENCE #OO9S

1. C.?.Proa%is and !.?.Manola%is O !i"ital Si"nal Processin"B Princi,les Al"orithms andA,,lications O 4th-dition Pearson Prentice/all o India 200(.

2. Monson .a'es OStatistical !i"ital Si"nal Processin" and Modelin" O ile' India 2006.

3. P. P. aid'anathan GMultirate S'stems and 8ilter an%sH Prentice all Si"nal Processin"Series Pearson 2004.

". Tula' Adali and Simon a'%in GAda,tive Si"nal Processin" Ne@t ?eneration SolutionsHCohn ile' and Sons 2010.

5. Ali Ahammad Shou%at houdhur' Sirish *. Shahand Nina 8.Thornhill G!ia"nosis oProcess Nonlinearities and alve StictionB !ata !riven A,,roachesH S,rin"er 2006.

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http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Ali+Ahammad+Shoukat+Choudhury%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Sirish+L.+Shah%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Ali+Ahammad+Shoukat+Choudhury%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Sirish+L.+Shah%22


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IN ! === INDUSTRIAL DATA NET$OR9S L T P C3 0 0 3

COURSE O#ECTIVES To "ive an overvie$ o the Industrial data communications s'stems

To ,rovide a undamental understandin" o common ,rinci,les various standards

,rotocols

To ,rovide insi"ht into some o the ne$ ,rinci,les those are evolvin" or uture net$or%s.

COURSE OUTCOMES

A+ilit' to develo, an understandin" o and +e a+le to select and use most a,,ro,riate

technolo"ies and standards or a "iven a,,lication

A+ilit' to desi"n and ensurin" that +est ,ractice is ollo$ed in installin" and

commissionin" the data communications lin%s to ensure the' run ault/ree

UNIT-1: DATA NET$OR9 FUNDAMENTALS !-IA 232 interace standard -IA 46# interace standard -IA 422 interace standard Serialinterace converters / IS5


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REFERENCE #OO9S

1 T.A. u"hes GPro"ramma+le *o"ic ontrollersB 7esources or Measurements and ontrol

SeriesH Third edition ISA Press 2000.

2 7.o$den GA7T A,,lication ?uideH A7T ommunication 8oundation 1999.

3 ?.D.McMillan GProcess


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IN ! === SYSTEMS THEORY L T P C3 0 0 3

COURSE O#ECTIVES

To develo, the s%ills needed to re,resent the s'stem in state s,ace orm To im,art %no$led"e re>uired to desi"n state eed+ac% controller and state o+servers

To im,art %no$led"e and s%ills needed to classi' sin"ular ,oints and construct ,hase

traector' usin" delta and isocline methods.

To ma%e the students understand the conce,ts o sta+ilit' and introduce techni>ues to

assess the sta+ilit' o certain class o non/linear s'stem usin" descri+in" unction*'a,unov Sta+ilit' Po,ovFs Sta+ilit' riterion and ircle riterion

To ma%e the students understand the various non/linear +ehaviors such as *imit c'cles

in,ut multi,licit' and out,ut multi,licit' iurcation and haos.

COURSE OUTCOMES

A+ilit' to re,resent the time/invariant s'stems in state s,ace orm as $ell as anal':e $hether the s'stem is sta+ili:a+le controlla+le o+serva+le and detecta+le.

A+ilit' to desi"n state eed+ac% controller and state o+servers

A+ilit' to classi' sin"ular ,oints and construct ,hase traector' usin" delta and isocline

methods.

Jse the techni>ues such as descri+in" unction *'a,unov Sta+ilit' Po,ovFs Sta+ilit'

riterion and ircle riterion to assess the sta+ilit' o certain class o non/linear s'stem.

A+ilit' to descri+e non/linear +ehaviors such as *imit c'cles in,ut multi,licit' and out,ut

multi,licit' iurcation and haos.

UNIT-1: STATE SPACE APPROACH !7evie$ o state model or s'stems No uni>ueness o state model / 7ole o -i"en values and-i"envectors / State transition matri@ and its ,ro,erties ree and orced res,onses State!ia"rams / minimal reali:ation +alanced reali:ation.

UNIT-2: STATE FEED#AC9 CONTROL AND STATE ESTIMATOR !ontrolla+ilit' and o+serva+ilit' Sta+ili:a+ilit' and !etecta+ilit' / Dalman !ecom,osition /State 8eed+ac% Pole ,lacement techni>ue 8ull order and 7educed 5rder 5+servers

UNIT-3: NON-LINEAR SYSTEMS !T',es o Non/*inearit' T',ical -@am,les Sin"ular Points / Phase ,lane anal'sis anal'ticaland "ra,hical methods= *imit c'cles ->uivalent *ineari:ation !escri+in" 8unction

Anal'sis !erivation o !escri+in" 8unctions or dierent non/linear elements.

UNIT-": STA#ILITY OF NON-LINEAR SYSTEMS !Sta+ilit' conce,ts ->uili+rium ,oints I5 and As'm,totic sta+ilit' Sta+ilit' Anal'sis +'!8 method *'a,unov Sta+ilit' riteria Drasovs%ilFs method aria+le ?radient Method Po,ovFs Sta+ilit' riterion ircle riterion

UNIT- 5: NON-LINEAR SYSTEMS ANALYSIS !iurcation ehavior o Sin"le 5!- S'stemsB / Motivation Illustration o iurcationehavior and T',es o iurcations / iurcation ehavior o T$o/State S'stemsB / !imensionaliurcations in the Phase/Plane *imit 'cle ehavior and o, iurcation / Introduction tohaosB The *oren: ->uations Sta+ilit' Anal'sis o the *oren: ->uations Numerical Stud' o


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the *oren: ->uations haos in hemical S'stems and 5ther Issues in haos

T*7 P'8 : "5

REFERENCE #OO9S

1 D.5"ata GModern ontrol -n"ineerin"H Prentice all 8ith -dition 2010.

2 M.?o,al G!i"ital ontrol and State aria+le MethodsB onventional and Intelli"entontrol S'stemsO Third -dition Tata Mc/?ra$ ill 2009.

3 ..e>uette GProcess ontrolB Modelin" !esi"n and SimulationH Prentice allInternational series in Ph'sical and hemical -n"ineerin" Sciences 2003.

" Steven -. *elanc !onald 7. ou"hano$r GProcess S'stems Anal'sis and ontrolHThird -dition hemical -n"ineerin" series Mc?ra$/ill i"her -ducation 2006

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IN ! === PROCESS CONTROL AND INSTRUMENTATION

LA#ORATORY

L T P C

0 0 3 2

1. a= Stud' o Process ontrol Trainin" ,lant

+= Pi,in" and Instrumentation dia"ram

2. Simulation o lum,ed ,arameter and !istri+uted ,arameter s'stems.

3. Identiication o linear d'namic model o a ,rocess usin" non/ ,arametric methods.

4. a= !esi"n and im,lementation PI! ontrol scheme on the simulated ,rocess.

+= PI! Im,lementation issues

#. *evel and ,ressure control $ith and $ithout Interaction= in ,rocess control Test 7i".

&. Auto/ Tunin" o PI! controller

(. !esi"n and im,lementation o 8eed or$ard and ascade control schemes on the

simulated model o ST7 ,rocess.

6. a= Anal'sis o MIM5 s'stem.

+= !esi"n and im,lementation o Multi/loo, PI! and Multivaria+le PI! control schemes

on the simulated model o t$o/tan% s'stems.

9. !esi"n and im,lementation o 7o+ust PI! control schemes on the simulated

model o varia+le area tan% ,rocess.

10. a= !esi"n and im,lementation o Sel/tunin" and Model 7eerence Ada,tive

ontrol schemes on the simulated model o varia+le area tan% ,rocess.

+= !esi"n and im,lementation o "ain scheduled Ada,tive controller on the

simulated model o varia+le area tan% ,rocess.

11.Stud' o MP tool+o@.

12 a= 5n/line Monitorin" and ontrol Jsin" !istri+uted ontrol S'stem

+= Im,lementation o !iscrete ontrol Se>uence usin" Pro"ramma+le *o"ic ontroller.

T*7 P'8 : "5


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#*/ ;

IN ! === ADVANCED PROCESS CONTROL L T P C3 0 0 3

COURSE O#ECTIVES To teach students to +uild and anal':e models or time/var'in" s'stems and non/linear

s'stems.

To develo, the s%ills needed to desi"n ada,tive controllers such as "ain/scheduled

ada,tive controller Model/reerence ada,tive controller and Sel/tunin" controller orvarious a,,lications

To ma%e the students learn to ormulate o,timal control schemes

To ,rovide +asic %no$led"e a+out 8ractional/order s'stems and 8ractional/order/

controller and to la' the oundation or the s'stematic a,,roach to !esi"n controller orractional order s'stems

To introduce 8!I Techni>ues such as Princi,al com,onent Anal'sis state o+server to

detect and dia"nose aults in sensors and actuatorsCOURSE OUTCOMES

A+ilit' to A,,l' %no$led"e o mathematics science and en"ineerin" to +uild and

anal':e models or time/var'in" s'stems and non/linear s'stems.

A+ilit' to desi"n and im,lement ada,tive controllers such as "ain/scheduled ada,tive

controller Model/reerence ada,tive controller and Sel/tunin" controller

A+ilit' to Identi' ormulate and solve o,timal controller

A+ilit' to Anal':e 8ractional/order s'stems 8ractional/order/ controller and !esi"n

controller or ractional order s'stems

A+ilit' to desi"n and im,lement 2and /ininit' ontrollers

A+ilit' to use the 8!I Techni>ues such as Princi,al com,onent Anal'sis state o+server

to detect and dia"nose aults in sensors and actuators

UNIT-1: CONTROL OF TIME-VARYING AND NONLINEAR SYSTEMS !Models or Time/var'in" and Nonlinear s'stems In,ut si"nal desi"n or Identiication 7eal/time ,arameter estimation Model alidation / T',es o Ada,tive ontrol / ?ain schedulin" /

Ada,tive ontrol / !eterministic Sel/tunin" ontroller and Model 7eerence Ada,tiveontroller ontrol o ammerstein and iener S'stems

UNIT-2: OPTIMAL CONTROL > FILTERING !Introduction Perormance Measure or o,timal control ,ro+lem !'namic Pro"rammin" om,utational Procedure or solvin" ontrol Pro+lem *K7 Introduction to 5,timal 8ilterin"

!iscrete Dalman 8ilter *K?

UNIT-3: FRACTIONAL ORDER SYSTEM > CONTROLLER !8ractional/order alculus and Its om,utations 8re>uenc' and Time !omain Anal'sis o8ractional/5rder *inear S'stems / 8ilter A,,ro@imations to 8ractional/5rder !ierentiations Model reduction Techni>ues or 8ractional 5rder S'stems ontroller !esi"n Studies or8ractional 5rder

UNIT-": H-INFINITY CONTROLLER !Introduction Norms or Si"nals 7o+ust Sta+ilit' 7o+ust Perormance Small ?ainTheorem 5,timal 2ontroller !esi"n / /Ininit' ontroller !esi"n -ects o ei"htin"8unctions in /Ininit' ontrol.


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UNIT- 5: FAULT DIAGNOSIS AND FAULT-TOLERANT CONTROL !Process Monitorin" / Introduction Statistical Process ontrol 8ault !etection $ith Princi,alom,onent Anal'sis 8ault !etection $ith State 5+servers 8ault !etection $ith si"nalmodels / 8ault !etection o ontrol *oo,s/ Sensor and Actuator 8ault/Tolerant ontrol !esi"n

T*7 P'8 : "5

REFERENCE #OO9S

1 D.C. Astrom and .C.ittenmar% GAda,tive ontrolH Pearson -ducation Second -dition2006.

2 !onald -.Dir% O5,timal ontrol Theor' An IntroductionO !over Pu+lications Inc.Mineola Ne$ or% 2004

3 !.Xue .K.hen !.P.Atherton O*inear 8eed+ac% ontrol Anal'sis and !esi"n $ithMAT*A Advances In !esi"n and ontrolO Societ' or Industrial and A,,liedMathematics 200(.

" 7. Isermann O8ault/!ia"nosis S'stemsB An Introduction rom 8ault !etection to 8ault

ToleranceO S,rin"er 200#

#*/ ;


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IN ! === INSTRUMENTATION SYSTEM DESIGN L T P C3 0 2 "

COURSE O#ECTIVES

To im,art %no$led"e on the desi"n o si"nal conditionin" circuits or the

measurement o *evel tem,erature and ,.

To develo, the s%ills needed to desi"n a+ricate and test Analo"< !i"ital PI!

controller !ata *o""ers and Alarm Annunciator

To ma%e the students amiliari:e desi"n oriice and control valve si:in".

COURSE OUTCOMES

A+ilit' to desi"n si"nal conditionin" circuits or tem,erature sensors uid


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4. !esi"n 8a+rication and Testin" o Alarm Annunciation ircuits # rs#. !evelo,ment o Sot$are Pac%a"e or si:in" 5riice< ontrol valve ues to the

ada,ted in industries.

*earn a+out other s,ecial ,ur,ose instruments li%e Nuclear radiation detection

techni>ues i+re o,tic sensors Instrumentation or N!T a,,lications etc

COURSE OUTCOMES5n com,letion o this course students $ill +e a+le to

understand the instrumentation +ehind lo$ level tem,erature and ,ressuremeasurement

Ac>uire +asic %no$led"e on the im,ortant measurement ,arameters and re>uired

anal':ers $ith res,ect to oilers in Thermal ,o$er ,lant %no$ a+out the $or%in" ,rinci,le o instruments used in dierent o,erations in

,etrochemical industr'

e@,lain a+out the necessar' saet' techni>ues to +e ado,ted in a t',ical Processindustr' Jnderstand a+out the Instrumentation used in Nuclear 7adiation !etection corrosion

monitorin" and to have an e@,osure on N!T anal'sis.

UNIT-1: REVIE$ OF INDUSTRIAL INSTRUMENTATION !5vervie$ o Measurement o 8lo$ level Tem,erature and Pressure

UNIT-2: MEASUREMENT IN THERMAL PO$ER PLANT (#OILERS) !Selection and Installation o instruments used or the Measurement o uel lo$ Air lo$ !rumlevel Steam ,ressure Steam tem,erature 8eed $ater >ualit' measurement/ 8lue "as5@'"en Anal':ers/ oal Anal':er.

UNIT-3: MEASUREMENT IN PETROLEUM REFINERY !Parameters to +e measured in ,etroleum industr'B/8lo$ *evel Tem,erature and Pressuremeasurement in !istillation P'rol'sis catal'tic crac%in" and reormin" ,rocess/'drocar+onanal':ers/oil in or on $ater/sul,hur in oil Anal':er.

UNIT-": INSTRUMENTATION FOR INDUSTRIAL SAFETY !-lectrical and Intrinsic Saet' / -@,losion Su,,ression and !elu"e s'stems /onservation andemer"enc' vents / 8lame ire and smo%e detectors / *ea% !etectors / Metal !etectors.


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UNIT-5:SPECIALPURPOSEINSTRUMENTATION !!etection o Nuclear 7adiation orrosion monitorin" 8i+re o,tic sensors/Instrumentationin $eather stations /Instrumentation or N!T a,,lications/Ima"e ,rocessin" Techni>ue ormeasurements.

T*7 P'8 : "5

REFERENCE #OO9S

1 .?.*i,ta% GInstrumentation -n"ineers and+oo% Process Measurement ) Anal'sis=H8ourth -dition hilton oo% o 2003.

2 D.Drishnas$am' and M.Ponni+ala GPo$er Plant InstrumentationH PI *earnin" Pvt*td 2011.

3 Cohn ? e+ster GThe Measurement Instrumentation and Sensors and+oo%H 7and I--- Press 1999.

" Qvard !evold G5il and ?as Production and+oo% / An Introduction to 5il and ?as

ProductionH A ATPA oil and "as 200&

5 M.Arumu"am G5,tical 8i+re ommunication and SensorsH Anuradha A"encies 2002.

6 Paul -. Mi@ GIntroduction to Nondestructive Testin"H Cohn ile' and Sons 200#.

#*/ ;


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IN !=== THERMAL PO$ER PLANT INSTRUMENTATION L T P C3 0 0 3

COURSE O#ECTIVEAter com,letion o the course the students $ill ac>uire e@tensive %no$led"e a+outB

5,eration ) im,ortance o Instrumentation in Thermal ,o$er ,lant

!evelo,ment o Mathematical model o dierent s'stems in Thermal ,o$er ,lant

onventional and advanced control schemes a,,lied to various ,rocesses in Thermal

Po$er Plant

Measurement o im,ortant ,arameters and control techni>ues a,,lied to steam tur+ines

alculation and o,timi:ation o oiler eicienc' +' includin" various losses in thermal

,o$er ,lant

COURSE OUTCOME

The student $ill +e e>ui,,ed $ith the +asic %no$led"e o unction o dierent s'stems in

Thermal ,o$er ,lant

The student %no$s the ,rocedural ste,s to o+tain the mathematical model o various units

in Thermal ,o$er ,lant

ill +e a+le to e@,lain conventional and advanced control conce,ts and theirs

im,lementation in various ,rocesses.

ill "et idea on the ,arameters to +e monitored measured and controlled in steam tur+ines

alculation and o,timi:ation o oiler eicienc' +' includin" various losses in thermal

,o$er ,lant

UNIT-1: #ASICS OF THERMAL PO$ER PLANT !Process o ,o$er "eneration in coal ired and oil/ired thermal ,o$er ,lants/ T',es o oilers/om+ustion ,rocess Su,er heater Tur+ine Im,ortance o Instrumentation in thermal ,o$er,lants.

UNIT-2: #OILER MODELING !!evelo,ment o irst ,rinci,le and data driven modelsB/ com+ustion cham+er +oilerdrumsu,erheater and attem,erator

UNIT-3: #OILER CONTROL !

om+ustion control/Air ALTERNATOR - MONITORING AND CONTROL !Measurement o s,eed vi+ration shell tem,erature o steam tur+ine Steam ,ressure ontrol S,eed control o tur+ine Alternator/ Monitorin" volta"e and re>uenc' 5,eration o several unitsin ,arallel/ S'nchroni:ation.

UNIT-5: OPTIMIATION OF THERMAL PO$ER PLANT OPERATION !!etermination o oiler eicienc' eat losses in oiler -ect o e@cess air 5,timi:in" total airsu,,l'/ om+usti+le material in ash/ 7eduction o tur+ine losses/hoice o o,timal ,lant

,arameters/ -conomics o o,eration.

T*7 P'8 : "5

REFERENCE #OO9S

1 A..?ill GPo$er Plant PerormanceH -lsevier India Ne$ !elhi 2003.

2 S.M.-lon%o and A.*.Dohal GStandard oiler 5,erationsH Mc?ra$ ill Ne$ !elhi 1994.

3 Sam ?. !u%e *o$ GThe ontrol o oilerH ISA ,ress 1991


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#*/ ;

IN ! === INSTRUMENTATION IN PETROCHEMICAL INDUSTRY L T P C3 0 0 3

COURSE O#ECTIVESTo ena+le students to ac>uire %no$led"e a+out

The dierent methods o crude oil recover' ,rocessin" and reinin"

Im,ortant Jnit o,erations in ,etroleum reiner' and ,etrochemical industr'

Production routes o im,ortant ,etrochemicals and

ontrol o selected ,etrochemicals ,roduction ,rocesses.

a:ards and thereore the necessar'*measure in ,lannin" and unction o,etrochemical Industr'.


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COURSE OUTCOMEAter com,letin" this course the student $illB

?ain +asic %no$led"e a+out the methodolo"ies a,,lied or recover' and ,rocessin" o

,etroleum. e amiliar $ith dierent unit o,erations involved in Petroleum industr'.

ave a "eneral understandin" o the ,roduction routes or im,ortant ,etrochemicals. e a+le to descri+e the control o Im,ortant ,rocesses li%e 8J atal'tic 7eormer

Al%'lation. e a+le to classi' the ha:ardous :ones and "ain %no$led"e a+out the techni>ues used to

reduce the e@,losion ha:ards.

UNIT-1: OIL Eues used or oil discover'B/seismic surve' / methods o oil e@traction / oil ri" s'stem Primar' Secondar' and -nhanced oil recover' / se,aration o "as and $ater rom oil / controlloo,s in oil "as se,arator / scru++er coalescer.

UNIT-2: PETROLEUM REFINING !Petroleum reinin" ,rocess / unit o,erations in reiner' B/ thermal crac%in" / catal'tic crac%in" /catal'tic reormin" / ,ol'meri:ation / isomeri:ation / al%'lation / Production o eth'lene acet'leneand ,ro,'lene rom ,etroleum.

UNIT-3: CHEMICALS FROM PETROLEUM !hemicals rom methane acet'lene eth'lene and ,ro,'lene / ,roduction routes o im,ortant,etrochemicals such as ,ol'eth'lene ,ol',ro,'lene eth'lene dio@ide methanol @'lene +en:enetoluene st'rene M and P.

UNIT-": CONTROL LOOPS IN PETROCHEMICAL INDUSTRY !ontrol o +inar' and ractional distillation columns / ontrol o catal'tic and thermal crac%ers /control o catal'tic reormer / control o al%'lation ,rocess / ontrol o ,ol'eth'lene ,roduction ontrol o M and P ,roduction.

UNIT-5: SAFETY IN INSTRUMENTATION SYSTEM !

Area and material classiication as ,er National -lectric ode N-= / lassiication as ,erInternational -lectro technical ommission I-= / Techni>ues used to reduce e@,losion ha:ards /Pressuri:ation techni>ues / T',e X T',e and T',e / Intrinsic saet' / Mechanical and -lectricalisolation / *o$er and J,,er e@,losion limit.

T*7 P'8 : "5

REFERENCE #OO9S

1 Cens ?. alchen Denneth I. MummR Process ontrolB Structures and A,,lications onNostrand 7einhold om,an' Ne$ or% 199#.

2 Qvard !evold G5il and ?as Production and+oo%/An Introduction to 5il and ?asProductionH A ATPA 5il and ?as 200&.

3 Rla ?. *i,t% GInstrumentation in Process IndustriesH hilton oo% om,an' 200#.

" Austen *a$rence addams Ghemical rom PetroleumH utter and Canner *td. 19&6.
http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Jens+G.+Balchen%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Kenneth+I.+Mumm%C3%A9%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22B%C3%A9la+G.+Lipt%C3%A1k%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Austen+Lawrence+Waddams%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Jens+G.+Balchen%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Kenneth+I.+Mumm%C3%A9%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22B%C3%A9la+G.+Lipt%C3%A1k%22http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Austen+Lawrence+Waddams%22


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5 7am Prasad Petroleum 7einin" Technolo"' Dhanna Pu+lishers Ne$ !elhi 2000.

#*/ ;

IN ! === VIRTUAL INSTRUMENTATION L T P C3 0 0 3

COURSE O#ECTIVES

To ,rovide the +ac%"round or develo,in" a I

To ma%e the student +ecome com,etent in usin" state/o/the/art I tools.

To ena+le the student to "ain e@,erience in data ac>uisition and instrument control

COURSE OUTCOMES

A+ilit' to develo, sot$are ,ro"ram called I

Student $ill +e a+le to e@,eriment $ith ,lu"/in !AK interaces or ,rotot',e

measurement s'stems


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UNIT-1: INTRODUCTION !irtual InstrumentationB istorical ,ers,ective / advanta"es / +loc% dia"ram and architecture oa virtual instrument / onventional Instruments versus Traditional Instruments / data/lo$techni>ues "ra,hical ,ro"rammin" in data lo$ com,arison $ith conventional ,ro"rammin".

UNIT-2: VI PROGRAMMING TECHNIUES !Is and su+/Is loo,s and charts arra's clusters and "ra,hs case and se>uence structures

ormula nodes local and "lo+al varia+les State machine strin" and ile Iuisition / t',ical ,lu"/indata ac>uisition +oard / multi,le@in" o analo" in,uts / sin"le ended and dierential in,uts /dierent strate"' or sam,lin" o multi channel analo" in,uts. once,t o universal !AK card /use o timers


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Ph'siolo"ical s'stems and measura+le varia+les/ Nature and com,le@ities o +iomedicalmeasurements/ Medical e>ui,ment standards/ or"ani:ation classiication and re"ulation/iocom,ati+ilit' / uman and ->ui,ment saet' Ph'siolo"ical eects o electricit' Micro andmacro shoc%s thermal eects.

UNIT-2: ADVANCES IN MODELING AND SIMULATIONS IN #IOMEDICALINSTRUMENTATION

!

Modelin" and simulation in iomedical instrumentation !ierence in modelin" en"ineerin"

s'stems and ,h'siolo"ical s'stems Model +ased anal'sis o Action Potentials / cardiac out,ut res,irator' mechanism / lood "lucose re"ulation and neuromuscular unction.

UNIT-3: #IOMEDICAL SIGNALS AND THEIR ACUISITIONS !T',es and lassiication o +iolo"ical si"nals Si"nal transactions Noise and artiacts andtheir mana"ement / io,otential electrodes/ t',es and characteristics / 5ri"in recordin"schemes and anal'sis o +iomedical si"nals $ith t',ical e@am,les o-lectrocardio"ra,h'-?= -lectroence,halo"ra,h'--?= and -lectrom'o"ra,h' -M?=Processin" and transormation o si"nals/a,,lications o $avelet transorms in si"nalcom,ression and denoisin".

UNIT-": INSTRUMENTATION FOR DIAGNOSIS AND MONITORING !

Advanced medical ima"in" techni>ues and modalities /Instrumentation and a,,lications inmonitorin" and dia"nosis/ om,uted tomo"ra,h' Ma"netic 7esonance Ima"in" andultrasound/ Al"orithms and a,,lications o artiicial intelli"ence in medical ima"e anal'sis anddia"nosis/Telemedicine and its a,,lications in telemonitorin"..UNIT- 5: #IOMEDICAL IMPLANTS AND MICROSYSTEMS !Im,lanta+le medical devicesB artiicial valves vascular "rats and artiicial oints/ cochlearim,lants / cardiac ,acema%ers Microa+riation technolo"ies or +iomedical Micros'stems/microsensors or clinical a,,lications +iomedical microluid s'stems


1 Cohn ?.e+ster GioinstrumentationH Cohn ile' ) Sons 2006.

2 Sha'ne .?ad GSaet' -valuation o Medical !evicesH 7 Press Second -dition 2002.

3 Michael .D.Dhoo GPh'siolo"ical ontrol S'stemsB Anal'sis Simulation and -stimationI--- Press 2000.

" Cohn ?.e+ster GMedical Instrumentation A,,lication and !esi"nH Cohn ile' ) SonsThird -dition 2009.

5 *.rom$ell 8red C.ei+ell and -rich A.Peier Giomedical Instrumentation and

MeasurementsH Prentice all o India !i"iti:ed 2010.

6 P.Stron" Gio,h'sical MeasurementsH Te%troni@ !i"iti:ed 200(.

& D.Naarian and 7. S,linter Giomedical Si"nal and Ima"e Processin"H 7 Press 200#.

Cohn *.Semmlo$ Giosi"nal and iomedical Ima"e Processin"H 7 Press 8irst -dition2004.

! Cose,h C.arr and Cohn M.ro$n GIntroduction to iomedical ->ui,ment Technolo"'H
http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Fred+J.+Weibell%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Fred+J.+Weibell%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Fred+J.+Weibell%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Erich+A.+Pfeiffer%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Erich+A.+Pfeiffer%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Fred+J.+Weibell%22&source=gbs_metadata_r&cad=8http://www.google.co.in/search?tbo=p&tbm=bks&q=inauthor:%22Erich+A.+Pfeiffer%22&source=gbs_metadata_r&cad=8


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Prentice all 8ourth -dition 2004.

#*/ ;

IN ! === APPLIED SOFT COMPUTING L T P C3 0 0 3

COURSE O#ECTIVES

To revie$ the undamentals o ANN and u::' set theor'

To ma%e the students understand the use o ANN or modelin" and control o non/

linear s'stem and to "et amiliari:ed $ith the ANN tool +o@.

To "ive e@,osure to the dierent ANN architectures and online trainin" al"orithm.

To im,art %no$led"e o usin" 8u::' lo"ic or modelin" and control o non/linear

s'stems and "et amiliari:ed $ith the 8* tool +o@.

To amiliari:e the students on various h'+rid control schemes P.S.5 and "et

amiliari:ed $ith the AN8IS tool +o@.


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COURSE OUTCOMES

ill +e a+le to %no$ the +asic ANN architectures al"orithms and their limitations.

Also $ill +e a+le to %no$ the dierent o,erations on the u::' sets.

ill +e ca,a+le o develo,in" ANN +ased models and control schemes or non/linear

s'stem.

ill "et e@,ertise in the use o dierent ANN structures and online trainin" al"orithm.

ill +e %no$led"ea+le to use 8u::' lo"ic or modelin" and control o non/linears'stems.

ill +e com,etent to use h'+rid control schemes and P.S.5 and su,,ort vector

7e"ressive.

UNIT-1: OVERVIE$ OF ARTIFICIAL NEURAL NET$OR9 (ANN) > FUY LOGIC !7evie$ o undamentals / iolo"ical neuron Artiicial neuron Activation unction Sin"le *a'erPerce,tron *imitations Multi *a'er Perce,tron ac% ,ro,a"ation al"orithm PA=E 8u::'set theor' 8u::' sets 5,eration on 8u::' sets / Scalar cardinalit' u::' cardinalit' unionand intersection com,lement 'a"er and su"eno= e>uili+rium ,oints a""re"ation ,roectioncom,osition decom,osition c'lindrical e@tension u::' relation 8u::' mem+ershi,unctions.

UNIT-2: NEURAL NET$OR9S FOR MODELLING AND CONTROL !Modelin" o non linear s'stems usin" ANN/ NA7XNNSSNA7MAX / ?eneration o trainin"data / o,timal architecture Model validation/ ontrol o non linear s'stem usin" ANN/ !irectand Indirect neuro control schemes/ Ada,tive neuro controller ase stud' / 8amiliari:ation oNeural Net$or% ontrol Tool o@.

UNIT-3: ADVANCED ANN STRUCTURES AND ONLINE TRAINING ALGORITHMS !7ecurrent neural net$or% 7NN=/ Ada,tive resonance theor' A7T=+ased net$or%/ 7adial+asis unction net$or%/ Introduction to om,le@ Neural Net$or% / 5nline learnin" al"orithmsBP throu"h time 7T7* al"orithms *east Mean s>uare al"orithm and 7einorcement learnin"

UNIT-": FUY LOGIC FOR MODELLING AND CONTROL !Modelin" o non linear s'stems usin" u::' modelsMamdani and Su"eno= TSD model /8u::' *o"ic controller 8u::iication Dno$led"e +ase !ecision ma%in" lo"ic !eu::iication/Ada,tive u::' s'stems/ ase stud' / 8amiliari:ation o 8u::' *o"ic Tool o@.

UNIT- 5: HY#RID CONTROL SCHEMES !8u::iication and rule +ase usin" ANNNeuro u::' s'stems/AN8IS 5,timi:ation omem+ershi, unction and rule +ase usin" ?enetic Al"orithm Particle S$arm 5,timi:ation /ase stud'Introduction to Su,,ort ector 7e"ression 8amiliari:ation o AN8IS Tool o@.


1 *aurene .8ausett G8undamentals o Neural Net$or%s Architecture Al"orithms andA,,licationsH Pearson -ducation 2006.

2 Timoth' C.7oss G8u::' *o"ic $ith -n"ineerin" A,,licationsH ile' Third -dition 2010.

3 ?eor"e C.Dlir and o uan G8u::' Sets and 8u::' *o"icB Theor' and A,,licationsHPrentice alI 8irst -dition 199#.

" !avid -.?old+er" G?enetic Al"orithms in Search 5,timi:ation and Machine *earnin"H


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Pearson -ducation 2009.

5 .T.Miller 7.S.Sutton and P.C.e+rose GNeural Net$or%s or ontrolH MIT Press 199&.

6 .ortes and .a,ni% OSu,,ort/ector Net$or%s Machine *earnin"H 199#.

#*/ ;

IN ! === OPTIMAL STATE ESTIMATION L T P C3 0 0 3

COURSE O#ECTIVESTo im,art Dno$led"e and S%ills

To desi"n and im,lement a !iscrete Dalman 8ilter

To desi"n and im,lement -@tended Dalman 8ilter Iterated -@tended Dalman

8ilter and Second/order -@tended Dalman ilter

To desi"n and im,lement !erivative 8ree Dalman ilter such as Jnscented Dalman

ilter and its variants and -nsem+le Dalman 8ilter


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To desi"n and im,lement Particle 8ilter Jnscented Particle 8ilter

COURSE OUTCOMES

A+ilit' to !esi"n and Im,lement Dalman 8ilter or *inear s'stems

A+ilit' to !esi"n and Im,lement variants o !erivative ased Dalman 8ilters such

as -@tended Dalman ilter Iterated -@tended Dalman ilter Second order -@tendedDalman 8ilter or non/linear s'stems

A+ilit' to !esi"n and Im,lement variants o !erivative ree Dalman 8ilters such as

Jnscented Dalman ilter S,herical and Sim,le@ transormations +ased JnscentedDalman ilter

A+ilit' to !esi"n and Im,lement variants o /ininit' ilters.

A+ilit' to !esi"n and Im,lement various t',es o Particle ilters or non/linear and

non/?aussian s'stems.

UNIT-1: INTRODUCTION TO STATE ESTIMATION AND 9ALMAN FILTER !7evie$ o Matri@ Al"e+ra and Matri@ alculus and Pro+a+ilit' Theor' *east S>uare-stimation 7evie$ o state o+servers or !eterministic S'stem/ !erivation o the !iscrete time Dalman ilter Dalman ilter ,ro,erties/ Dalman ilter "enerali:ationB / orrelated Processand Measurement Noise ase Studies

UNIT-2: E


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" ruce P. ?i++s OAdvanced Dalman 8ilterin" *east/S>uares and Modelin"B A Practicaland+oo%O ile' 2011.

#*/ ;

IN ! === SYSTEM IDENTIFICATION L T P C3 0 0 3

COURSE O#ECTIVES

To "ive an overvie$ on the dierent data driven identiication methods

To ma%e the student understand the ,rinci,les o rela' +ased identiication

To ena+le the student to select a suita+le model or identiication

To ela+orate the conce,t o estimatin" the ,arameters o the selected models usin"

,arameter estimation al"orithm

To ,rovide the +ac%"round on the ,ractical as,ects o conductin" e@,eriments or real


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time s'stem identiication

COURSE OUTCOMES

A+ilit' to develo, various models rom the e@,erimental data

ill +e a+le to select a suita+le model and ,arameter estimation al"orithm or the

identiication o s'stems

ill +e a+le to carr' out the veriication and validation o identiied model

ill "ain e@,ertise on usin" the model or ,rediction and simulation ,ur,oses and or

develo,in" suita+le control schemes

UNIT-1: INTRODUCTION !S'stem Identiication/motivation and overvie$ / Non/,arametric methodsB Im,ulse res,onseste, res,onse and 8re>uenc' res,onse methods correlation and s,ectral anal'sis methods.

UNIT-2: PARAMETER ESTIMATION METHODS !Parametric model structures/A7X A7MAX 5- C models / *inear re"ression / *east s>uareestimates statistical ,ro,erties o *S -stimates. ei"hted least s>uares ma@imum li%elihoodestimation Prediction error methods Instrumental varia+le methods 7ecursive *east s>uaresmethod/ -@ercises usin" s'stem identiication tool+o@.

UNIT-3: RELAY FEED#AC9 IDENTIFICATION !A "enerali:ed rela' eed+ac% identiication method modelE structure selection/ rela' eed+ac%identiication o sta+le ,rocessesB 85P!T and S5P!T model. 7ela' eed+ac% Identiication ounsta+le ,rocessesB 85P!T and S5P!T model. Illustrative e@am,les

UNIT-": CLOSED- LOOP IDENTIFICATION !Identiication o s'stems o,eratin" in closed loo,B Identiia+ilit' considerations directidentiication indirect identiication / Su+s,ace Identiication methods B classical and innovationorms ree and structures ,arameteri:ations.

UNIT- 5: PRACTICAL ASPECTS OF IDENTIFICATION !Practical as,ectsB e@,erimental desi"n in,ut desi"n or identiication notion or ,ersistente@citation drits and de/trendin" outliers and missin" data ,re/ilterin" /ro+ustness Modelvalidation and Model structure determination/case studies. Introduction to Nonlinear S'stemIdentiication.

T*7 P'8 : "5

REFERENCE #OO9S

1 Darel C. DeesmanH S'stem Identiication an Introduction HS,rin"er 2011.

2 *ennart*un" GS'stem IdentiicationB Theor' or the userH Second edition Prentice all1999.

3 Tao *iu 8uron" ?ao GIndustrial Process Identiication and control desi"n Ste,/test andrela'/e@,eriment/+ased methodsH S,rin"er/ erilo" *ondon *td 2012.
http://www.amazon.com/Lennart-Ljung/e/B000APLEIM/ref=ntt_athr_dp_pel_1http://www.amazon.com/Lennart-Ljung/e/B000APLEIM/ref=ntt_athr_dp_pel_1


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#*/ ;

IN ! === OPTIMAL CONTROL L T P C3 0 0 3

COURSE O#ECTIVES

To "ive e@,osure to dierent t',e o o,timal control ,ro+lems such as time/o,timal uel

o,timal ener"' o,timal control ,ro+lems

To im,art %no$led"e and s%ills needed to desi"n *inear Kuadratic 7e"ulator or Time/

invariant and Time/var'in" *inear s'stem ontinuous time and !iscrete/time s'stems=

To introduce conce,ts needed to desi"n o,timal controller usin" !'namic Pro"rammin"


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A,,roach and /C/ e>uation.

To "ive e@,osure to various t',es o ault tolerant control schemes such as Passive and

active a,,roaches

To introduce conce,ts needed to desi"n o,timal controller in the ,resence o state

constraints and time o,timal controller

COURSE OUTCOMES

A+ilit' to e@,lain dierent t',e o o,timal control ,ro+lems such as time/o,timal uel

o,timal ener"' o,timal control ,ro+lems

A+ilit' to desi"n *inear Kuadratic 7e"ulator or Time/invariant and Time/var'in" *inear

s'stem ontinuous time and !iscrete/time s'stems=

A+ilit' to desi"n o,timal controller usin" !'namic Pro"rammin" A,,roach and /C/

e>uation.

A+ilit' to -@,lain the Pontr'a"in Minimum Princi,le.

A+ilit' to desi"n o,timal controller in the ,resence o state constraints and time o,timal

controller.

UNIT-1: CALCULUS OF VARIATIONS AND OPTIMAL CONTROL !Introduction Perormance Inde@/ onstraints 8ormal statement o o,timal control s'stem

alculus o variations 8unction 8unctional Increment !ierential and variation and o,timumo unction and unctional The +asic variational ,ro+lem -@trema o unctions and unctionals$ith conditions variational a,,roach to o,timal control s'stem

UNIT-2: LINEAR UADRATIC OPTIMAL CONTROL SYSTEM !Pro+lem ormulation 8inite time *inear Kuadratic re"ulator Ininite time *K7 s'stemB Timear'in" case/ Time/invariant case Sta+ilit' issues o Time/invariant re"ulator *inearKuadratic Trac%in" s'stemB 8ine time case and Ininite time case

UNIT-3: DISCRETE TIME OPTIMAL CONTROL SYSTEMS !ariational calculus or !iscrete time s'stems !iscrete time o,timal control s'stemsB/ 8i@ed/inal state and o,en/loo, o,timal control and 8ree/inal state and o,en/loo, o,timal control /

!iscrete time linear state re"ulator s'stem Stead' state re"ulator s'stem

UNIT-": PONTRYAGIN MINIMUM PRINCIPLE !Pontr'a"in Minimum Princi,le !'namic Pro"rammin"B/ Princi,le o o,timalit' o,timal controlusin" !'namic Pro"rammin" 5,timal ontrol o ontinuous time and !iscrete/time s'stems amilton/Caco+i/ellman ->uation *K7 s'stem usin" /C/ e>uation

UNIT- 5: CONSTRAINED OPTIMAL CONTROL SYSTEMS !Time o,timal control s'stems 8uel 5,timal ontrol S'stems/ -ner"' 5,timal ontrol S'stems

5,timal ontrol S'stems $ith State onstraints

T*7 P'8 : "5

REFERENCE #OO9S

1 !onald -. Dir% 5,timal ontrol Theor' An Introduction !over Pu+lications Inc. MineolaNe$ or% 2004.

2 !. Su++aram Naidu 5,timal ontrol S'stems 7 Press Ne$ or% 2003.

3 8ran% *. *e$is !ra"una ra+ie assilis *. S'rmos 5,timal ontrol 3rd-dition ile'


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Pu+lication 2012.

#*/ ;

IN ! === ADAPTIVE CONTROL L T P C3 0 0 3

COURSE O#ECTIVES

To im,art %no$led"e on ho$ to recursivel' estimate the ,arameters o discrete in,ut

out,ut models A7X


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To develo, the s%ills needed to desi"n /ininit' su+/o,timal controllers +' means o

7iccati e>uations

To develo, the s%ills needed to desi"n /ininit' su+/o,timal controllers +' means o *MI

A,,roach

COURSE OUTCOMES

A+ilit' to deine and enumerate ,ro,erties o linear s'stems in terms o ro+ust sta+ilit'

and ,erormance

A+ilit' to ormulate 7o+ust ontrol Pro+lem +ased on 7o+ust sta+ilit' and 7o+ust

,erormance

A+ilit' to desi"n 2o,timal controller to achieve the desired ,erormance

A+ilit' to desi"n /ininit' su+/o,timal controllers +' means o 7iccati e>uations

A+ilit' to desi"n /ininit' su+/o,timal controllers +' means o *MI A,,roach

UNIT-1: INTRODUCTION !Introduction Norms o vectors and Matrices Norms o S'stems alculation o o,eratorNorms S,eciication or eed+ac% s'stems o/,rime actori:ation and Inner unctions

UNIT-2: H2OPTIMAL CONTROL !

*inear Kuadratic ontrollers haracteri:ation o 2o,timal controllers Dalman uc' 8ilter *K? ontroller

UNIT-3: H-INFINITY OPTIMAL CONTROL-RICCATI APPROACH !8ormulation haracteri:ation o /ininit' su+/o,timal controllers +' means o 7iccati e>uations

/ininit' control $ith ull inormation Mi@ed Sensitivit' desi"n

UNIT-": H-INFINITY OPTIMAL CONTROL- LMI APPROACH !8ormulation haracteri:ation o /ininit' su+/o,timal controllers +' means o *MI A,,roach Pro,erties o /ininit' su+/o,timal controllers /ininit' s'nthesis $ith ,ole/,lacementconstraints

UNIT- 5: SYNTHESIS OF RO#UST CONTROLLERS > CASE STUDIES !S'nthesis o 7o+ust ontrollers Small ?ain Theorem !/D iteration/ ontrol o InvertedPendulum/ ontrol o ST7 ontrol o Aircrat 7o+ust ontrol o Second/order Plant/ 7o+ustontrol o !istillation olumn

T*7 P'8 : "5

REFERENCE #OO9S

1 J. Mac%enroth G7o+ust ontrol S'stemsB Theor' and ase StudiesH S,rin"er International-dition 2010.

2 !. Xue .K. hen !. P. Atherton O*inear 8eed+ac% ontrol Anal'sis and !esi"n $ithMAT*A Advances In !esi"n and ontrolH Societ' or Industrial and A,,lied Mathematics200(.


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3 I. 7. Petersen .A. J"rinovs%ii and A. . Sav%in G7o+ust ontrol !esi"n usin" /ininit'MethodsH S,rin"er 2000.

". M. C. ?rim+le G7o+ust Industrial ontrol S'stemsB 5,timal !esi"n A,,roach or Pol'nomialS'stemsH Cohn ile' and Sons *td. Pu+lication 200&.

#*/ ;

IN ! === FAULT TOLERANT CONTROL L T P C3 0 0 3

COURSE O#ECTIVES

To "ive an overvie$ o dierent 8ault !etection and !ia"nosis methods

To im,art %no$led"e and s%ills needed to desi"n and detect sensor and actuators aults

usin" structured residual a,,roach as $ell as directional structured residual a,,roach

To im,art %no$led"e and s%ills needed desi"n and detect aults in sensor and actuators


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usin" ?*7 and M*7 +ased A,,roaches

To ,resent an overvie$ o various t',es o ault tolerant control schemes such as

Passive and active a,,roaches

To im,art %no$led"e and s%ills needed to detect and >uanti' and com,ensate stiction

in ontrol valves

COURSE OUTCOMES

A+ilit' to -@,lain dierent a,,roaches to 8ault !etection and !ia"nosis

A+ilit' to desi"n and detect sensor and actuators aults usin" structured residual

a,,roach as $ell as directional structured residual a,,roach

A+ilit' to desi"n and detect aults in sensor and actuators usin" ?*7 and M*7

+ased A,,roaches

A+ilit' to e@,lain various t',es o ault tolerant control schemes such as Passive and

active a,,roaches

A+ilit' to !esi"n ault/tolerant control scheme in the ,resence o actuator ailures

A+ilit' to detect and >uanti' and com,ensate stiction in ontrol valves

UNIT-1: INTRODUCTION > ANALYTICAL REDUNDANCY CONCEPTS !Introduction / T',es o aults and dierent tas%s o 8ault !ia"nosis and Im,lementation /

!ierent a,,roaches to 8!!B Model ree and Model +ased a,,roaches/Introduction/Mathematical re,resentation o 8aults and !istur+ancesB Additive and Multi,licative t',es 7esidual ?enerationB !etection Isolation om,utational and sta+ilit' ,ro,erties !esi"n o7esidual "enerator 7esidual s,eciication and Im,lementation

UNIT-2: DESIGN OF STRUCTURED RESIDUALS > DIRECTIONAL STRUCTUREDRESIDUALS

!

Introduction/ 7esidual structure o sin"le ault IsolationB Structural and anonical structures/7esidual structure o multi,le ault IsolationB !ia"onal and 8ull 7o$ canonical conce,ts Introduction to ,arit' e>uation im,lementation and alternative re,resentation / !irectionalS,eciicationsB !irectional s,eciication $ith and $ithout distur+ances Parit' ->uationIm,lementation

UNIT-3: FAULT DIAGNOSIS USING STATE ESTIMATORS !Introduction State 5+server State -stimators Norms +ased residual evaluation andthreshold com,utation / Statistical methods +ased residual evaluation and threshold settin"sB?enerali:ed *i%elihood 7atio A,,roach Mar"inali:ed *i%elihood 7atio A,,roach

UNIT-": FAULT TOLERANT CONTROL !

Introduction Passive 8ault/tolerant ontrol/ Active 8ault tolerant ontrol / Actuator andSensor 8ault tolerance Princi,lesB/ om,ensation or actuator Sensor 8ault/tolerant ontrol!esi"n 8ault/tolerant ontrol Architecture / 8ault/tolerant ontrol desi"n a"ainst maoractuator ailures.

UNIT- 5: CASE STUDIES !8ault tolerant ontrol o Three/tan% S'stem !ia"nosis and 8ault/tolerant control o chemical,rocess su,ervision o steam "enerator !ierent t',es o aults in ontrol valves

Automatic detection >uantiication and com,ensation o valve stiction



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To la' oundation a+out issues involved in the selection o P*!.

To im,art %no$led"e on im,lementation o the a+ove desi"n in !* ,ro"rammin"

environment.

COURSE OUTCOMES

ill +e a+le to "ain the %no$led"e o the characteristics and ,erormance o M5S devices.

ill have an e@,osure to desi"n o stic% dia"rams and la'out o "ates.

A+ilit' to carr' out desi"n o sim,le circuits usin" various lo"ic schemes. ill +e a+le to select a,,ro,riate P*! or an a,,lication.

ill "ain e@,ertise in develo,in" and eectivel' s'nthesi:in" !* ,ro"rams or

com+inational and se>uential a,,lications.

UNIT-1: #ASIC DEVICE CHARACTERISTICS !NM5S PM5S enhancement and de,letion mode transistor M5S8-T threshold volta"e linearand saturated o,eration standard M5S inverter transit time and s$itchin" s,eed o NM5S andM5S inverters. ircuit characteristics and ,erormance estimationB dela' estimation transistorsi:in" ,o$er distri+ution scalin" noise mar"in and latch u,.

UNIT-2: DESIGN RULES AND LAYOUT !

Pur,ose o desi"n rules NM5S and M5S desi"n rules and la'out !esi"n o NM5S and M5Sinverters NAN! and N57 "ates. Stic% dia"rams and la'out o lo"ic "ates.

UNIT-3: VLSI SU#SYSTEM DESIGN !Pass Transistor *o"ic transmission "ate lo"ic NM5S lo"ic Staticuential

Assi"nment Statements om+inational circuitsB Multi,le@ers adders ,riorit' encoder. Se>uentialcircuitsB dierent t',es o li, lo,s re"isters shit re"ister and counters. An introduction to i"hlevel *SI s'nthesis and desi"n tools. 7eali:in" PI! controller in !*.

T*7 P'8 : "5

REFERENCE #OO9S

1 Can M.7a+ae' Anantha handra%asan and orivoe Ni%olic G!i"ital Inte"rated ircuits A!esi"n Pers,ectiveH Second -dition Prentice all 2003.

2 Ste,hen ro$n von%o ranesic G8undamentals o !i"ital *o"ic $ith !* !esi"nH Second


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edition Mc?ra$ ill 2004.

3 Thomas *.8lo'd ) Cain H!i"ital 8undamentalsH Tenth edition Pearson -ducation 2009

" Cohn P.J'emura GIntroduction to *SI ircuits and S'stemsH 8irst -dition Cohn ile' andSons 2001.

5 a'ne ol G8P?A ased S'stem !esi"nH Prentice all 2004.

#*/ ;

IN ! === INDUSTRIAL DRIVES AND CONTROL L T P C3 0 0 3

COURSE O#ECTIVES

To "ive an overvie$ on undamental as,ects o motor/load s'stems and +asic

characteristics o dc and ac drives.


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To introduce various modelin" methods o dc and ac drives.

To "ive detailed %no$led"e on o,eration anal'sis and control o converter and cho,,er

driven dc drives

To "ive e@,osure to ,rinci,le techni>ues o conventional control o ac drives

To introduce advanced control strate"ies o ac drives and latest develo,ments in the ield

o control o electric drives.

COURSE OUTCOMESStudents

?et a thorou"h understandin" o motor/load s'stem d'namics and sta+ilit' modern drive

s'stem o+ectives and undamentals o dc and ac motors.

ill have the a+ilit' to model +oth dc and ac motors in various conventional methods.

onidentl' desi"n and anal':e +oth converter and cho,,er driven dc drives

ill have a thorou"h understandin" o conventional control techni>ues o ac drives and

$ill have the a+ilit' to desi"n and anal':e such s'stem

?et a detailed %no$led"e on advanced hi"h ,erormance control strate"ies or ac drives

and emer"in" technolo"ies in electric drives.

UNIT-1: INTRODUCTION TO ELECTRIC DRIVES !

Motor/*oad s'stem!'namics load tor>ue stead' state sta+ilit' Multi >uadrant o,erations odrives. ! motors/ s,eed reversal s,eed control and +rea%in" techni>ues haracteristics oInduction motor and S'nchronous motors/!'namic and re"enerative +ra%in" ac drives.

UNIT-2: MODELING OF DC AND AC MACHINES !ircuit model o -lectric Machines/Transer unction and State s,ace models o series andse,aratel' e@cited ! motor/A Machines !'namic modelin" linear transormations/e>uations in stator rotor and s'nchronousl' rotatin" reerence rames/lu@ lin%a"e e>uations/!'namic state s,ace model/modelin" o S'nchronous motor

UNIT-3: CONTROL OF DC DRIVES !Anal'sis o series and se,aratel' e@cited ! motor $ith sin"le ,hase and Three ,hase

converters o,eratin" in dierent modes and coni"urations/ Anal'sis o series and se,aratel'e@cited ! motor ed rom dierent cho,,ers/t$o >uadrant and our >uadrant o,eration/losedloo, control o dc drives/!esi"n o controllers

UNIT-": CONTROL OF AC DRIVES !5,eration o induction motor $ith non/sinusoidal su,,l' $aveorms aria+le re>uenc'o,eration o 3/,hase inductions motors constant lu@ o,eration current ed o,erations onstanttor>ue o,erations Static rotor resistance control and sli, ,o$er recover' scheme S'nchronousmotor control control o ste,,ed motors Parameter sensitivit' o ac drives.

UNIT- 5:ADVANCED CONTROL OF AC DRIVES !

Princi,les o vector control !irect and indirect vector control o induction motor !T/ sensorless vector control/s,eed estimation methods/A,,lications o 8u::' lo"ic and Artiicial NeuralNet$or% or the control o A drives.

T*7 P'8 : "5

REFERENCE #OO9S

1 ?.D.!u+e' GPo$er Semiconductor ontrolled !rivesH Prentice all International Ne$Cerse' 1969.


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2 Paul ..Drause 5le" $as'nc:u% and Scott !.Sudho GAnal'sis o -lectric Machiner' and!rive S'stemsH 2ndedition ile'/I--- Press 2002.

3 imal D ose GModern Po$er electronics and A !rivesH Pearson education Asia 2002.

" 7 .Drishnan G-lectrical Motor !rives/ Modelin" Anal'sis and ontrolH Prentice all o IndiaPvt *td. 2nd-dition 2003.

#*/ ;

IN !=== CRYPTOGRAPHY AND NET$OR9 SECURITY L T P C3 0 0 3

COURSE O#ECTIVES


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To introduce mathematical oundations or cr',to"ra,h'.

To amiliari:e s'mmetric and as'mmetric cr',to"ra,h' ci,hers.

To hi"hli"ht the eatures o inte"rit' authentication di"ital si"nature and %e'

mana"ement.

To introduce the net$or% securit' conce,ts.

COURSE OUTCOMES

Jse o mathematical oundations in cr',to"ra,h' a,,lications. A+ilit' to use s'mmetric and as'mmetric %e' cr',to"ra,h' al"orithms in real

a,,lications.

A+ilit' to identi' ,ro+lems and solutions o inte"rit' authentication %e' mana"ement.

A+ilit' to im,lement di"ital si"nature and to anal':e securit' in net$or%s.

UNIT-1: MATHEMATICAL #AC9GROUND OF CRYPTOGRAPHY !Introduction Inte"er arithmetic modular arithmetic *inear con"ruence Num+er theor'

Al"e+raic structures ?82n= ields Primes Primalit' testin" 8actori:ation hinese remaindertheorem Kuadratic con"ruence -@,onentiation and *o"arithm.

UNIT-2: SYMMETRIC 9EY CRYPTOGRAPHY !

Introduction Su+stitution ci,her Trans,osition ci,her Stream ci,her loc% ci,her !-S Structure Anal'sis Securit' o !-S A-S Transormations De' e@,ansion -valuationi,her Anal'sis Modern S'mmetric De' i,her Jse o modern +loc% ci,hers Jse o streamci,hers.

UNIT-3: ASYMMETRIC 9EY CRYPTOGRAPHY@ 9EY MANAGEMENT !Introduction 7SA cr',tos'stem 7a+in cr',tos'stem -l?amal r',tos'stem -li,tic curvecr',tos'stem De' mana"ement S'mmetric %e' distri+ution Der+eros S'mmetric %e'a"reement Pu+lic %e' distri+ution iac%in".

UNIT-": INTEGRITY@ DIGITAL SIGNATURE@ AUTHENTICATION !Inte"rit' Messa"e inte"rit' 7andom 5racle model Messa"e authentication ash unction

Introduction Messa"e di"est Secure hash unction !i"ital Si"nature Introduction Attac%sSchemes ariations and A,,lications -ntit' authentication Introduction Pass$ordshallen"e/res,onse ero %no$led"e iometrics.

UNIT-5: NET$OR9 SECURITY !Securit' at a,,lication la'er -mail P?P S


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2. en+o Mao GModern r',to"ra,h'B Theor' and PracticeH Pearson -ducation 2006.

3. Neal Do+lit: GA ourse in Num+er Theor' and r',to"ra,h'H S,rin"er Second -dition1996.

". A.C.Mene:es Paul .an 5orschot and Scott A.anstone Gand+oo% o A,,liedr',to"ra,h'H 7 Press 8irst Indian 7e,rint 2010.

#*/ ;

IN ! === REAL TIME EM#EDDED SYSTEM L T P C3 0 0 3


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COURSE O#ECTIVES

To introduce the uildin" +loc%s o 7eal Time -m+edded S'stem

To amiliari:e the em+edded hard$are com,onents ) its interace

To im,art %no$led"e on em+edded sot$are develo,ment ,rocess

To ma%e the students understand the 7eal Time 5,eratin" S'stems

To "ive e@,osure to the ase studies in various ields

COURSE OUTCOMES A+ilit' to select em+edded hard$are com,onents ) its interace

?ain %no$led"e on em+edded sot$are develo,ment ,rocess

Ac>uire %no$led"e on 7eal Time 5,eratin" S'stems

?ain e@,ertise in the ase studies in various ields

UNIT-1: INTRODUCTION TO REAL TIME SYSTEMS !8undamentals o s'stems and real time s'stem / !einitions classiication haracteristics/asicmodel o 7eal Time S'stems Timin" constraints Saet' and 7elia+ilit'/ T',ical a,,lications o7eal Time S'stems.

UNIT-2: EM#EDDED SYSTEM COMPONENTS AND ITS INTERFACE !

-m+edded s'stem deinition/ architecture and standards $ith e@am,les / -m+edded hard$are/,rocessors/memor' devices/Interace and Peri,herals/ A7M ,rocessor +ased em+edded +oards /Po$er and its Mana"ement.

UNIT-3: EM#EDDED SYSTEM SOFT$ARE DEVELOPMENT !Sot$are em+edded in a s'stem I!- Assem+ler om,iler lin%er simulatorde+u""erIn /circuit -mulatorI-= Tar"et hard$are de+u""in" Pro"ram modelin" Pro"ram models !atalo$ model State machine ,ro"rammin" models JM* models / i"h level lan"ua"e descri,tions inem+edded s'stem Cava +ased em+edded s'stem desi"n.

UNIT-": RTOS #ASED EM#EDDED SYSTEM DESIGN !Introduction to +asic conce,ts o 7T5S Tas% Process and Threads Interru,t routines in 7T5S

Multi,rocessin" ) Multitas%in" Preem,tive and non/Preem,tive schedulin" Tas% communication shared memor' Inter Process communication s'nchroni:ation +et$een ,rocesses sema,hores mail +o@ ,i,es ,riorit' Inversion ,riorit' Inheritance com,arison o 7eal timeo,eratin" s'stemsB @$or%s


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and Pro"rammersH -lsevier Pu+lications 2010.

2 A.S.er"er G-m+edded S'stem !esi"n B An Introduction to Process Tools and Techni>uesHMP oo%s 2006.

3 !.!.?as%i 8.ahid S.Nara'an GS,eciication and !esi"n o -m+edded S'stemsH PT7Prentice all 2002

" !.-.Simon GAn -m+edded Sot$are PrimerH Addison esle' 2000.

5 9* *@ D*8 D B*'@ L C*@ E+,888 S*' D7;+ B C@S,rin"er 2009.

#*/ ;

IN ! === ADVANCED IMAGE PROCESSING L T P C3 0 0 3


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COURSE O#ECTIVES

To introduce the ima"e undamentals and transorms

To im,art %no$led"e in ima"e enhancement

To "ive e@,osure to ima"e restoration and ima"e com,ression

To amiliari:e the students on ima"e anal'sis

To ma%e the students to understand the conce,t o ,attern reco"nition

COURSE OUTCOMES e a+le to a,,l' ima"e enhancement ima"e com,ression restoration techni>ues

ima"e se"mentation a,,roaches.

A+ilit' to a,,l' ima"e ,rocessin" techni>ues in +oth the s,atial and re>uenc'

domains.

e ca,a+le o a,,l'in" ima"e ,rocessin" al"orithms to real ,ro+lems.

UNIT-1: IMAGE FUNDAMENTALS AND TRANSFORMS !-lements o !i"ital ima"e ,rocessin" s'stems/!i"ital ima"e re,resentation/ visual ,erce,tion/Sam,lin" Kuanti:ation Ima"e +asis unction/ T$o dimensional !8T/ !iscrete cosinetransorm alsh/adamard transorm/avelet transorm/Princi,al om,onent Anal'sis/olor ima"e Processin".

UNIT-2: IMAGE ENHANCEMENT !asic "re' level transormation ontrast stretchin" / isto"ram e>uali:ation Ima"esu+traction Ima"e avera"in" S,atial ilterin"B Smoothin" shar,enin" ilters *a,lacianilters 8re>uenc' domain iltersB Smoothin" Shar,enin" ilters omomor,hic ilterin"/Mor,holo"ical 5,erations.

UNIT-3: IMAGE RESTORATION AND COMPRESSION !Ima"e restoration/!e"radation model/Jnconstrained and onstrained restoration Inverseilterin" iener ilter/7estoration in s,atial domain/Ima"e om,ression/Transorm codin"/ector Kuanti:ation/ierarchical and ,ro"ressive com,ression methods

UNIT-": IMAGE ANALYSIS !oundar' detection +ased techni>ues Point line detection -d"e detection -d"e lin%in" local,rocessin" re"ional ,rocessin" ou"h transorm Thresholdin" methods Movin" avera"esMultivaria+le thresholdin" 7e"ion/+ased se"mentation atershed al"orithm.

UNIT- 5:PATTERN RECOGNITION !7eco"nition +ased on !ecision Theoretic methods/Structural 7eco"nition/ *inear !iscriminant

Anal'sis a'eFs lassiier Neural net/ 8u::' s'stem 5,timi:ation Techni>ues in7eco"nition / A,,lications in ,article si:e measurement 8lo$ measurement / 8ood,rocessin" ase studies.

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COURSE O#ECTIVES

To introduce the technolo"ies and a,,lications or the emer"in" domain o $ireless

sensor net$or%s

To im,art %no$led"e on the desi"n and develo,ment o the various la'ers in the SN

,rotocol stac%

To ela+orate the various issues related to SN im,lementations

To amiliari:e the students $ith the hard$are and sot$are ,latorms used in the desi"n

o SN

COURSE OUTCOMES

A+ilit' to anal':e SN $ith res,ect to various ,erormance ,arameters in the ,rotocol stac%

A+ilit' to understand MA al"orithms and Net$or% ,rotocols used or s,eciic SN

a,,lications

!esi"n and develo, a SN or a "iven a,,lication

UNIT- 1: INTRODUCTION !hallen"es or $ireless sensor net$or%s om,arison o sensor net$or% $ith ad hoc net$or%Sin"le node architecture ard$are com,onents ener"' consum,tion o sensor nodes

Net$or% architecture Sensor net$or% scenarios t',es o sources and sin%s sin"le ho, versusmulti/ho, net$or%s multi,le sin%s and sources desi"n ,rinci,les !evelo,ment o $irelesssensor net$or%s.

UNIT- 2: PHYSICAL LAYER !ireless channel and communication undamentals re>uenc' allocation modulation anddemodulation $ave ,ro,a"ation eects and noise channels models s,read s,ectrumcommunication ,ac%et transmission and s'nchroni:ation >ualit' o $ireless channels andmeasures or im,rovement ,h'sical la'er and transceiver desi"n consideration in $irelesssensor net$or%s ener"' usa"e ,roile choice o modulation,o$er mana"ement.

UNIT- 3: DATA LIN9 LAYER !MA ,rotocols undamentals o $ireless MA ,rotocols lo$ dut' c'cle ,rotocols and $a%eu,conce,ts contention/+ased ,rotocols Schedule/+ased ,rotocols *in% *a'er ,rotocols undamentals tas% and re>uirements error control ramin" lin% mana"ement

UNIT- ": NET$OR9 LAYER !?ossi,in" and a"ent/+ased uni/cast or$ardin" -ner"'/eicient unicast roadcast andmulticast "eo"ra,hic routin" mo+ile nodes !ata centric and content/+ased net$or%in" !ata centric routin" !ata a""re"ation !ata/centric stora"e i"her la'er desi"n issue

UNIT- 5: CASE STUDIES !Tar"et detection and trac%in" a+itat monitorin" -nvironmental disaster monitorin" Practical

im,lementation issues I--- 602.1#.4 lo$ rate PAN Sensor Net$or% Platorms and tools/Sensor node hard$are Node/level sot$are ,latorms node level simulators.

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3 0 0 3

COURSE O#ECTIVES

To introduce undamental theoretical and methodolo"ical ,rinci,les o +iosi"nal

,rocessin" and anal'sis

To estimate ,arametric models o the measured +iosi"nals or ,rediction simulation and

dia"nostic ,ur,oses

COURSE OUTCOMES A+ilit' to estimate suita+le models o the measured +iosi"nals

A+ilit' to use mathematicalue.

UNIT-3:ADAPTIVE NOISE CANCELLATION !Introduction ,rinci,le o ada,tive noise cancelin" ada,tive Noise cancellation $ith the *MSand 7*S ada,tation al"orithm / a,,lications ada,tive noise cancelin" method to enhance-? monitorin" ada,tive noise cancelin" method to enhance 8etal -? monitorin"ada,tive noise cancelin" method to enhance -lectro "astric measurements.

UNIT-": PARAMETRIC MODELING METHODS !Autore"ressive A7= methods *inear Prediction and Autore"ressive methods theautocorrelation ule / $al%er= methods a,,lications o A7 methods A7 modelin" o sei:ure--? -? si"nals and surace -M?. Autore"ressive Movin" Avera"e A7MA= method M*- method A%ai%e method !ur+in method a,,lications A7MA modelin" osomatosensor' -vo%ed Potentials S-Ps= !iastolic eart sounds and cutaneous -lectro"astric si"nals..UNIT- 5: NON LINEAR #IOSIGNAL PROCESSING AND $AVELET TRANSFORM !lusterin" methods hard and u::' clusterin" a,,lications o 8u::' clusterin" toiomedical si"nal ,rocessin" Neural Net$or%s Introduction NN in ,rocessin" andanal'sis o iomedical si"nals $avelet transorm Introduction 8ilter +an% im,lementation odiscrete $avelet transorm si"nal !enoisin" usin" $avelet transorm $avelet +asedcom,ression.

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1 M.A%a' Giomedical Si"nal Processin"H Academic Press San !ie"o 1994.

2 M.A%a' GNonlinear iomedical Si"nal Processin"H 8u::' *o"ic Neural Net$or%s and Ne$Al"orithms vol.1 I--- Press Series on iomedical -n"ineerin" Ne$ or% 2000.

3 -u"ene N.ruce Giomedical Si"nal Processin" and Si"nal Modelin"H Cohn ile' ) Sons8irst -dition 2000.

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IN ! === ADVANCED OPERATING SYSTEM L T P C


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3 0 0 3

COURSE O#ECTIVES

To introduce undamental conce,ts and mechanisms o advanced o,eratin" s'stem.

To ,rovide a +asic oundation in the desi"n o o,eratin" s'stem.

To ,rovide various alternative a,,roaches to the solution o the ,ro+lems encountered in

the desi"n o o,eratin" s'stem.

COURSE OUTCOMES

A+ilit' to have the %no$led"e o distri+uted o,eratin" s'stems.

A+ilit' to im,lement the state o art techni>ues to address the various desi"n issues in

advanced o,eratin" s'stem.

UNIT-1: OPERATING SYSTEM !Introduction o,eratin" s'stems and services PJ schedulin" a,,roaches Processs'nchroni:ation sema,hores !eadloc%s andlin" deadloc%s Multithreadin".

UNIT-2: DISTRI#UTED SYSTEMS !Introduction Advanta"es o distri+uted s'stem over centrali:ed s'stem *imitations o

distri+uted s'stem ommunication in distri+uted s'stems ATM lient/Server modeldistri+uted o,eratin" s'stem Issues ommunication ,rimitives Messa"e ,assin" model7emote ,rocedure call.

UNIT-3: SYNCHRONIATION IN DISTRI#UTED SYSTEMS !loc% s'nchroni:ation *am,ortFs lo"ical cloc% ector cloc% ausal orderin" o messa"esausal orderin" o messa"es Mutual e@clusion Non to%en +ased and to%en +ased al"orithm

Atomic transactions !istri+uted deadloc% detection and ,revention.

UNIT-": DISTRI#UTED RESOURCE MANAGEMENT !

!istri+uted ile s'stem Trend desi"n and im,lementation !istri+uted Shared Memor' !SM= Memor' coherence Pa"e +ased !SM Shared varia+le !SM 5+ect +ased !SM !istri+uted

schedulin".

UNIT-5: FAILURE RECOVERY AND FAULT TOLERANCE !7ecover' lassiication ac%$ard and or$ard error recover' 7ecover' in concurrents'stems s'nchronous chec% ,ointin" and recover' hec% ,ointin" or !istri+uted data+ases'stem 8ault tolerant commit ,rotocols otin" ,rotocols !'namic vote reassi"nment,rotocol 8ailure 7esilient ,rocesses.


1. Mu%esh Sin"hal and Niranan ?. Shivaratri GAdvanced once,ts in 5,eratin" S'stemsHTata Mc?ra$ ill 2001.

2. A+raham Sil+erschat: Peter . ?alvin and ?re" ?a"ne G5,eratin" S'stems once,tsHCohn ile' -i"hth edition 2006.

3. illiam Stallin"s G5,eratin" S'stemsB Internals and !esi"n Princi,lesH Pearson-ducation Seventh edition 2011.

". Andre$ S. Tanen+aum G!istri+uted 5,eratin" S'stemsH Pearson -ducation 199#.

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IN ! === RO#OTICS > AUTOMATION L T P C3 0 0 3

COURSE O#ECTIVES

To ma%e the students understand the +asic conce,ts o ro+ots their %inematics and traector'

,lannin" o ro+ots

To ela+orate the modelin" o ro+ot d'namics usin" tools such as -uler d'namic model and

*a"ran"ian ormulation To "ive an overvie$ o the various methods o control o ro+ots ro+otic a,,lications mo+ile

ro+ots and the related issues in industrial automation

COURSE OUTCOME

A+ilit' to anal':e the $or%s,ace and traector' ,annin" o ro+ots

A+ilit' to model the motion o 7o+ots

A+ilit' to develo, a,,lication +ased 7o+ots

A+iilt' to ormulate models or the control o mo+ile ro+ots in various industrial a,,lications

UNIT-1 INTRODUCTION AND RO#OT 9INEMATICS !

asic conce,ts o 7o+ots and automation classiication s,eciications A,,lication Notation /!irect Dinematics / o/ordinate rames rotations / omo"eneous coordinates / The Arm e>uation /Dinematic anal'sis o a t',ical 7o+ot / Inverse Dinematics / Tool coni"uration / Inverse %inematics oa t',ical 7o+ot / or%s,ace anal'sis and traector' ,lannin" / or% envelo,e o dierent ro+ots /The ,ic% and ,lace o,eration.

UNIT-2 DYNAMIC OF RO#OTS !ontinuous ,ath motion/inter,olated motion / Strai"ht line motion / Tool coni"uration Caco+ianmatri@ and mani,ulator Caco+ian / Mani,ulator !'namics / Dinetic o ,otential ener"' / -ner"i:edorces / *a"ran"eFs ->uation / -uler !'namic model.

UNIT-3: RO#OT CONTROL AND MICRO RO#OTICS !

The control ,ro+lem / state e>uation / Sin"le a@is PI! control / P! "ravit' control /om,uted tor>uecontrol / aria+le Structure control / Im,edance control. Micro 7o+otics and M-MS / 8a+ricationtechnolo"' or micro ro+otics Sta+ilit' issues in le""ed ro+ots under actuated mani,ulators.

UNIT-": RO#OT VISION !8undamentals o 7o+ot a,,lications / 7o+ot vision Ima"e re,resentation Tem,late matchin" /,ol'hedral o+ects / Sha,e anal'sis / Se"mentation Iterative ,rocessin" /7o+ot cell desi"n /T',eso a,,lications / material handlin" a,,lications / Machine loadin" and unloadin" / s,ot $eldin" / arc$eldin" / s,ra' ,aintin".

UNIT-5: MO#ILE RO#OTS AND CONTROL ISSUES !Industrial automation / ?eneral la'out / "eneral coni"uration o an automated lo$ line /conve'or

s'stems / maor eatures t',es / 7oller State $heel elt hain and overhead trolle' / Ins,ectionstation $ith eed+ac% loo,s to u, steam $or%stations / sho, loor control / 3 ,hases / orderschedulin".

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IN ! === INSTRUMENTATION DOCUMENTS FOR PROCESSINDUSTRIES

L T P C

1 0 0 1

COURSE O#ECTIVESTo ma%e students amiliari:e $ith

Instrumentation S'm+ols A++reviations and Identiication or Instruments Process 8lo$ dia"rams Instrument *oo, dia"rams Instrument oo%u, dia"rams

and

Pi,in" and Instrumentation !ia"rams

COURSE OUTCOMES

!esi"n develo, and inter,ret the documents used to deine instruments and control

s'stems or a t',ical ,roect includin" P)I!s loo, dia"rams s,eciication ormsinstrument lists lo"ic dia"rams installation details and location ,lans

A,,l' ISA standards or s'm+ols and terminolo"' to documentation

!escri+e the relationshi, o IS5 9000 5SA ,rocess saet' mana"ement PSM= and

API (#0 to control s'stems documentation

UNIT-1: INSTRUMENTATION DOCUMENTSloc% !ia"ram o a T',ical Process Instrumentation S'm+ols A++reviations andIdentiication or InstrumentsB / Mechanical ->ui,ment -lectrical ->ui,ment Instruments and

Automation S'stems / Process 8lo$ !ia"ram P8!= Pi,in" and Instrumentation !ia"ramP)I!= / Instrument *ists and S,eciication *o"ic !ia"rams Instrument *oo, !ia"rams /Instrument oo%u, !ia"rams *ocation Plans or Instruments / a+le 7outin" !ia"rams T',ical ontrol


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IN ! === INSTRUMENTATION STANDARDS L T P C1 0 0 1

COURSE O#ECTIVES

To ma%e students amiliari:e $ith Instrumentation standards such as S1042 ISA (#

ISA 64 and ISA 66.

COURSE OUTCOMES

A+ilit' to carr'out oriice si:in" or dierent services usin" S1042 standard

A+ilit' to carr'out control valve si:in" or dierent services usin" ISA (# standard

A+le to e@,lain ISA 64 Process saet' standards and ISA 66 atch ontrol standards.

UNIT-1: INSTRUMENTATION STANDARDSIntroduction o various Instrumentation standards !P T',e 8lo$ element alculationstandards S 1042 = / ISA (# Industrial Process ontrol alve Si:in" standards Standardsor a,,l'in" Instrumentation in a:ards *ocations ISA < I8 < N-MA < AP= ISA 64 ProcessSaet' Standards /ISA 66 atch ontrol Standards.

T*7 P'8 : 15REFERENCE #OO9S

1. ANSIuations or Si:in" control alves.2. ISA64 Process Saet' Standards and Jser 7esources Second -dition ISA 20113. ISA66 atch Standards and Jser 7esources 4th -dition ISA 2011

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IN ! === SAFETY INSTRUMENTED SYSTEM L T P C1 0 0 1

COURSE O#ECTIVESTo ma%e students amiliari:e $ith

Saet' ?uidelines Standards and recommended ,ractices

Saet' Inte"rit' levels and

8ailure modes

COURSE OUTCOMES

7eco"ni:e the desi"n +asis o recent standards "uidelines and recommended

,ractices

!escri+e the dierence +et$een ,rocess control and saet' control

!escri+e the liec'cle set o activities that are necessar' to desi"n im,lement and

maintain saet' s'stems

!iscuss the +asics o evaluatin" ,rocess ris% levels

!iscuss the +asics o determinin" Saet' Inte"rit' *evels SI*s=

!escri+e the ailure modes o saet' s'stems

7eco"ni:e the real im,act o redundanc'

!escri+e the ,ros and cons o various lo"ic s'stem technolo"ies

-@,lain the im,act o ield devices on s'stem ,erormance

UNIT-1 SAFETY INSTRUMENTED SYSTEMIntroduction to Saet' Instrumented S'stems Introduction ?uidelines and standards ?eneral SIS !esi"n oni"urations a:ard and 7is% Assessment 8ailure modes S'stemTechnolo"ies 5,eration and Maintenance.

T*7 P'8 : 15REFERENCE #OO9S

1 ANSI

final - pg curiculum_syllabus_r-2013

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