presented by professor michael henshaw loughborough...
TRANSCRIPT
Key messages
• Researchers have identified areas for collaboration in which EU and US bring complementary capabilities
• Additional access to test beds for CPS is an essential need of researchers in EU and US
• Verification is (most) significant issue
• models and CPS
• Recommendations from various EU Support actions and programmes* is consistent regarding EU-US collaboration: appropriate structures are required to lower the barriers to collaboration.
2
*cps Summit, T-AREA-SoS, PICASSO, BILAT USA as well as Acheson/Leon 2013.
Project and Consortium
• TAMS4CPS:
• Support Action, co-financed by the European Commission, DG Connect ICT 1-2014: Smart Cyber-Physical Systems
• Project duration: February 2015 - January 2017, 24 months
• Total EC contribution: EUR 399.650
• GA No.: 644821
3
George Mason University
Georgia Institute of Technology
Purdue University
The University of Texas at San Antonio
Stevens Institute
US Collaborators
Loughborough University, United Kingdom
Steinbeis-Europa-Zentrum, Germany
Newcastle University, United Kingdom
EU Partners
Motivation and Objectives
• Motivation • CPS is a key enabling technology vital for a leading position in future
science & innovation
• Technical challenges best met by the cooperation EU and US, to benefit both EU and US industry and economy.
• TAMS4CPS Objectives • Define scope of CPS for US and Europe and agreed scope for
collaboration
• Identify priority research and development needs for M&S for CPS
4
• Create a Strategic Research Agenda for Collaboration (SRAC) in M&S for CPS endorsed by European and US industry and academia
• Provide key enablers for Trans-Atlantic collaboration in M&S for CPS
• Disseminate findings of the project to the research and user communities in both the EU and the US
To lay the foundations for EU-US
collaboration in M&S for CPS
Principal outputs of TAMS4CPS
ROAD2CPS Project
Set of test cases
State of the Art evaluation
CPS Challenges
M&S Challenges
Mutual EU-US
interest
Collaboration mechanisms
TAMS4CPS Project
Strategic Research Agenda for Collaboration
5
Approach
• Twin workshops based on Artemis themes • Based on road mapping
approach
• Webinar meetings to disseminate and check results
• Peer review and survey of outputs
• Literature review
• Interviews
6
Modelling & simulation workshop themes 1. Architectures Principles and models for Autonomous Safe and
secure CPS
2. System Design, modelling and virtual engineering for CPS
3. Real time modelling for Autonomous adaptive and cooperative CPS
4. Model-Based Systems Engineering (MBSE) applied to Computing Platforms and energy management
5. Integration of socio/legal/governance models within modelling framework
IoT: networked CPS connected via the Internet
that are always a SoS
SOS usually composed of systems with managerial and
operational independence
CPS conjoined cyber and physical aspects of the system. Always contain
embedded software
SoS IoT CPS
Un-networked CPS
Interacting CPS that are connected by non-Internet technologies
Cyber Physical Systems
Figure: Henshaw, M. J. de C. (2016). Systems of Systems, Cyber-Physical Systems, the Internet-of-Things… Whatever Next?, INSIGHT, 19(3), pp 51-55.
CPS: the “fundamental intellectual problem of conjoining the engineering traditions of the cyber and physical worlds” Lee, Edward. (2015), The Past, Present and Future of Cyber-Physical Systems: A Focus on Models, Sensors 15 (3): 4837–69.
7
CPS configuration: Individual
CPS configuration:
Group Collaborative
CPS configuration:
Group Collaborative
CPS configuration:
Group Collaborative
CPS configuration: Federated
CPS configuration: Federated
CPS configuration: Federated
CPS configuration: Federated
CPS configuration: Federated
Device with embedded software with
capability to monitor and respond to its local environment. Specific
functional purpose.
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
CPS configuration: Enterprise
Collection of devices with embedded software that
exchange data to provide a range of services associated
with the users’ local environment and activities.
Large network of similar devices
providing co-ordination and optimisation of resources to many
users.
Flexible interconnection of
heterogeneous devices offering multi-modal
provision of a range of services
Example from Transport
Single vehicle + “driver” e.g. current
vehicles giving driver assistance
Collective vehicles (e.g. convoys),
communication between vehicles
City/Regional Traffic control (100’s-100,000);
interactions between vehicles and
infrastructure
Management of multi-modal transport at regional or national
level
CPS Range of Complexity
9
Theme 1: Test beds for CPS
• Collaboration Objectives • To create common test
beds in order to verify or test CPS models and / or prototypes;
• To use common test beds to ensure interoperability of CPS models and / or CPS products.
• Creation of joint test beds
• Exploitation of existing test beds • TAMS4CPS has compiled
list of current test beds in US and EU
10
1. Large-scale test beds for CPS (especially autonomous vehicles)
2. Evaluation of cross-domain architectures
3. Combining formal verification and simulation technology
4. Testing and evaluation of resilient systems
5. Simulated environments for human-automation interaction
6. Interoperability demonstration
1/7
Theme 2: Inclusion of Human Factors in M&S
• Collaboration objectives • To develop models of
human behaviour appropriate to human-CPS interaction;
• To include validated models of human behaviour within CPS models, simulations, and architectures.
• Situational awareness of Humans and of CPS are essential areas of interest for safety
• Shared datasets
11
1. Modelling behaviour and performance of human
interacting with CPS
2. Modelling of decision and control within CPS
3. Physiological and psychological behaviour of
CPS enhanced performance
4. Modelling of governance of CPS
5. Modelling of societal aspects within business
models
2/7
Theme 3: Open framework for model interoperability Theme 4: Incorporate security architectural features into models
• Collaboration Objectives (3) • To create an open framework
kernel supporting modular IP integration with components on tooling and model level;
• To create the open framework to support runtime execution of models;
• To create the capability to validate the overall system of models, providing confidence in the composition of models and simulation.
• To enable rapid integration of models
• Collaborative co-simulation
• Collaboration Objectives (4) • To develop and agree metrics
for secure CPS;
• To identify architectural features related to system security
• Comparatively fundamental research
• Focus on individual privacy and commercial security approaches
12
3&4/7
Theme 5: Combining Formal Verification and Simulation Technology
• Collaboration Objective • To combine formal
verification and simulation of CPS in the specific domains
• Verification is most significant challenge for CPS
• Underlying assumption: • Formal verification is
possible
• Need for new (economic) approaches to verification
• Link to test bed theme
13
Verify
Verify
Verify
Whilst a general solution to this problem is probably unachievable, there is the possibility to achieve this is specific domains.
5/7
Theme 6: An evolutionary approach to testing and evaluation of adaptive / resilient CPS
• Collaboration Objective • To create an
evolutionary approach to testing and evaluation (T&E) of adaptive CPS, signalling a paradigm shift in T&E.
• Paradigm change to continuous testing • Technical challenges • Verification philosophy • Adaptive models • Data stream analysis • Metrics for evaluation
14
Two main challenges 1. Fundamental research into
appropriate analytics for streaming data
2. Agreeing acceptance of data-driven models for assurance/certification
6/7
01001000101010000111101011010110101010101101000101011010101101010100101010100101010111101001001010110010101010101010010101010010011111010010101101011101010101000100110100100101011101010101001010111101001010101010001101010101101001101001011110101011101010010100101101001011111010010101010101101010010101000110101111000101010101010111000101010101111010111100010010101010010101010100101001110100101010010110100100111010100101010101010101010101001001101010101010010100101010100101011110101010010100101010101010101101010010010101001010101010010101010110101001011100101010100101010111110010010010101001010100101010100101001010101010100101100001010101010101010011001010101
Theme 7: Big-data analytics modelling via machine learning
• Collaboration Objectives • To enable interpretation of
big data (heterogeneous, sometimes very large datasets) to instrument models;
• To develop big data analysis for faster than real time applications.
• Application in real-time control
• Model adaptation to new data
• Machine-learning
15
Variety Veracity
Value
7/7
Collaboration mechanisms
1. Establishment of high-level bilateral agreements, elaboration of a joint and agreed agenda and setting up working groups to implement agreements
2. Establishment of thematic, targeted funding programmes with relevance to the respective STI policies (e.g. aligned to Grand Challenges)
3. Joint calls, twinning of research projects, and co-fund schemes open to the respective partners (single pot, reciprocity)
4. Facilitating US participation in mainstream H2020 projects
5. Funding of joint workshops, conferences or series of seminars as well as travel support to conferences
6. Supporting the mobility of researchers, staff exchange, fellowships to students, trans-Atlantic training and education approaches.
7. Access to research infrastructure, sharing of equipment, such as joint development and funding of open platforms, test beds and living labs to increase strategic, long-term collaboration
8. Enhancing the visibility of EU/US programmes
9. Support to technology transfer, sharing of knowledge and application-oriented cooperation
10. Enhancing framework conditions for trans-Atlantic collaboration
16
Recommendations to the European commission
1. The EC should work with appropriate US funding agencies to create test beds for CPS and to create suitable collaborative structures for effective joint exploitation of existing test beds.
2. For jointly funded activities between the EU and US, the EC should target US funding agencies whose support focuses on applied research at Technology Readiness Levels above fundamental science.
3. The EC and appropriate US funding agencies should take deliberate action to simplify the framework for trans-Atlantic collaboration by adopting best practice, as exemplified in the EU-NIH agreement.
18
NIH = US National Institutes of Health
Recommendations to the European commission
4. The EC should establish a joint project with US
agencies to create a common plan for
collaborative CPS development and should ensure
a single point of contact for US stakeholders.
5. As a matter of urgency, Europe and US should
collaborate on CPS-related standards to protect
their industries from the imposition of
standards from elsewhere.
6. The EC should increase the funding of
researcher mobility between EU and US,
including mainstreaming this in future EIT
KICs.
19
EIT KICs = European Institute of Innovation and Technology Knowledge and Innovation Communities
Recommendations to the Research Community and the European Commission
7. The EC should promote joint programmes in
the technical areas discussed (“the themes
of the Agenda”) through a variety of
collaborative mechanisms with US funding
agencies.
8. European researchers should seek to
identify and collaborate with US leaders in
the technical areas identified as the
“themes of the Agenda” in order to
establish long-term strategic development
of modelling and simulation to support CPS
for the mutual benefit of EU and US.
20
Principal Deliverables
• Strategic Research Agenda for Collaboration (D3.2)
• State of the Art Report (D2.1) • + Database of SoA
information (Magpie)
• Test Cases or M&S for CPS Validation (D2.2)
21
http://www.tams4cps.eu/
22
Consortium Michael J. de C. Henshaw, Peter Brook, Sofia Ahlberg-Pilfold, Luminita Ciocoiu, Lipika Deka, Murray Sinclair, and Carys Siemieniuch (Loughborough University, UK) John Fitzgerald, Zoe Andrews, Claire Ingram and Paolo Zuliani (Newcastle University, UK) Sabine Hafner-Zimmermann, Meike Reimann, and Sarah Mortimer (Steinbeis-Europa-Zentrum, Germany) TAMS4CPS acknowledges the support from the five US universities involved in the project: Professor Alexander H. Levis (George Mason University); Professor Dimitris Mavris and Dr. Kelly Griendling (Georgia Institute of Technology); Prof. Daniel DeLaurentis and Dr. Inseok Hwang (Purdue University); Professor Gregg Versonder (Stevens Institute of Technology); and Professor Mo M. Jamshidi (University of Texas, San Antonio). The TAMS4CPS project is co-funded by the European Community’s Horizon 2020 Programme under grant agreement no 644821. This publication is the Final Strategic Research Agenda for Collaboration developed within the project.
Key messages
• Researchers have identified areas for collaboration in which EU and US bring complementary capabilities
• Additional access to test beds for CPS is an essential need of researchers in EU and US
• Verification is (most) significant issue
• models and CPS
• Recommendations from various EU Support actions and programmes* is consistent regarding EU-US collaboration: appropriate structures are required to lower the barriers to collaboration.
23
*cps Summit, T-AREA-SoS, PICASSO, BILAT USA as well as Acheson/Leon 2013.
010010001010100001111010110101101010101011010001010110101011010101001010101001010101111010010010101100101010101010100101010100100111110100101011010111010101010001001101001001010111010101010010101111010010101010100011010101011010011010010111101010111010100101001011010010111110100101010101011010100101010001101011110001010101010101110001010101011110101111000100101010100101010101001101010011001010101
24