computational & information science division tuesday, may 17, 2005 randy zachery, aro

Computational & Information Science Division

Tuesday, May 17, 2005Randy Zachery, ARO

Outline

• ARO and CISD• Organization• Opportunity Driven Research

• CISD Mission & Thrust Areas

• Systems & Control Program

RDECOM Organizational Structure

RDECOMCommanding General

ARL CERDEC ECBC NSC TARDEC

AMSAASimulation &

TrainingTechnology

CenterAMRDEC ARDEC

ARO

Army MaterialSystems AnalysisAuthority

EdgewoodChemicalBiologicalCenter

Aviation & MissileResearch, Development& Engineering Center

Armament Research,Development & Engineering Center

CommunicationsElectronicsResearch, Development & Engineering Center

NatickSoldierCenter

Tank AutomotiveResearch Development,Development & EngineeringCenter

ARO’s ScientificDivision Structure

Director

Mathematical& Info

Sciences

Mechanical Sciences

Electronics

Physical Sciences

Engineering Sciences

Physics

MaterialsScience

Chemical Sciences

LifeSciences

Computing &Info Sciences

Mathematics

EnvironmentalSciences

CISD Scientific Programs & Personnel

• Software & Knowledge-Based Systems (David Hislop)

• Systems and Control (Randy Zachery)

• Information Processing & Fusion (Vacant, Bill Sander)

• Communications & Networks (Robert Ulman)

• Information Assurance (Cliff Wang)

Outline

• ARO and CISD• Organization• Opportunity Driven Research

• CISD Mission & Thrust Areas

• Systems & Control Program

Computational & Information Science Division Mission

To support and sponsor basic research in information processing and computation, to enhance the war fighter's decision-making, command and control, communications, and combat system performance

Opportunity Driven Researchvs.

Research to Overcome Technology Barriers

Opportunity(Innovations)

ParadigmShift

OvercomeTech Barriers

Return(Understanding& Performance)

Investment ($, Time)

• Innovative research may/may not be focused – higher probability of failure• Overcome tech barrier research is focused – lower probability of failure

• Innovative research may/may not be focused – higher probability of failure• Overcome tech barrier research is focused – lower probability of failure

Long-Term

Mid-Term

Near-Term

OpportunityDriven

FocusedInnovations

OvercomeTech Barriers

Focused TechOpportunity/

Transfer

U n i v e r s i t i e sSingle

InvestigatorUniversity

Centers

C T As

UARCs

I n – H o u s eIndustry

ARO ARL RDECs

MostInnovative

MostFocused

Extramural

In-House

RDECOM S&T Continuum

URI

CISD Thrust & Program Areas

Autonomous Systems

NetworkedInformationProcessing

Secure and RobustInformation Systems

Army Scientific & Technology Needs and Objectives

technology from war fighter’s needs and vision

division levelscientific research thrust areas - both needs and opportunity driven

Software & Knowledge-Based Systems

Systems & Control

Communications & Networks

Information Processing & Fusion

InformationAssurance

Program Areas(Subfields)

Sponsored Research

RelevanceROI (Gap, risk, payoff), ...

Outline

• ARO and CISD• Organization• Opportunity Driven Research

• CISD Mission & Thrust Areas

• Systems & Control Program

Develop the mathematical and systems theory to support modeling, analysis, design, and robust control of complex real-time dynamic systems, especially as they relate to the Army’s mission.

Program Goal

Support of Division Thrust Areas

– research on novel sensors and sensing, use of context information, knowledge extraction and abstraction

– research on new control paradigms such as cooperative, distributed control, hierarchal, and adaptive control

– research on complexity & system theory to facilitate the construction and predict of the performance of autonomous information systems

– research on multi-agent systems to develop a practical theory that facilitates development of tools for designing teams autonomous agents whose collective behaviors emerge to achieve desired goals

Autonomous Systems

Research and develop methods to facilitate creation of intelligent multi-agent autonomous systems that perceive their environment by means of sensing and through context, and learn from and use that information to generate intelligent, goal-directed desired behaviors.

Scientific Objectives• Develop design and systems theory for autonomous, distributed,

intelligent, and embedded systems in support of envisioned future army relevant systems.

• Develop understanding of the performance, controllability, stability, scalability, adaptability, robustness, and optimality of applying control systems theory to real problems

• Develop the appropriate modeling, simulation, mathematics, and analysis capability to support the above objectives

Research Content• Control theory - optimal, non-linear, neural networks, adaptive,

probabilistic, hybrid and embedded, vision in control, quantum control, ...

• Systems Theory - intelligent systems and sensors, data & information fusion, smart structures, ...

Program Objectives & Emphasis

Application areas

• multi-agent networked control

• autonomy for UAV/UGVs such as rotorcraft, wheeled vehicles, skidding vehicles, and wall-climbing robots

• rotorcraft formation flying

• intelligent adaptive systems such as self-healing robots

• real-time ISR, sensor-networks

• game theoretic framework for complex systems

Research Applications

Research topic Principal Investigator

Network-centric control Baillieul, Boston U (MURI)Lemmon, Notre Dame

Autonomous & Sastry, UC Berkeley (MURI)Cooperative Control Tsiotras, GaTech

Shen, USCDubowsky, MITTsiotras, Georgia Tech

Control Theory Annaswami, MITLewis, UTATeel, UC Santa BarbaraSheih, U HoustonTarn, Washington U

Emerging Areas Kumar, UPenn (MURI)Tannenbaum, GaTechShamma, UCLA

Core Projects