Conference on Control and Fault-Tolerant Systems (SysTol’10)

October 6-8, 2010, Nice, France

Plenary Lectures
Semi Plenary LecturesSemi_Plenaries.html
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Plenary Lectures



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Marios M. Polycarpou is a Professor of Electrical and Computer Engineering and the Director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. He received the B.A. degree in Computer Science and the B.Sc. degree in Electrical Engineering both from Rice University, Houston, TX, USA in 1987, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California, Los Angeles, CA, in 1989 and 1992 respectively. In 1992, he joined the University of Cincinnati, Ohio, USA, where he reached the rank of Professor of Electrical and Computer Engineering and Computer Science. In 2001, he was the first faculty to join the newly established Department of Electrical and Computer Engineering at the University of Cyprus, where he served as founding Department Chair from 2001 to 2008. His teaching and research interests are in intelligent systems and control, adaptive and cooperative control systems, computational intelligence, fault diagnosis and distributed agents. Dr. Polycarpou has published more than 200 articles in refereed journals, edited books and refereed conference proceedings, and co-authored the book Adaptive Approximation Based Control, published by Wiley in 2006. He is also the holder of 3 patents.

Prof. Polycarpou has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks between 2004-2010. He serves as an Associate Editor of two international journals and past Associate Editor of the IEEE Transactions on Neural Networks (1998-2003) and of the IEEE Transactions on Automatic Control (1999-2002). He served as the Chair of the Technical Committee on Intelligent Control, IEEE Control Systems Society (2003-05) and as Vice President, Conferences, of the IEEE Computational Intelligence Society (2002-03). He is currently an elected member of the Board of Governors of the IEEE Control Systems Society, an elected AdCom member of the IEEE Computational Intelligence Society, and the Chair of Awards Committee for the IEEE Computational Intelligence Society. Dr. Polycarpou was the recipient of the William H. Middendorf Research Excellence Award at the University of Cincinnati (1997) and was nominated by students for the Professor of the Year award (1996). He has been invited as Keynote Plenary Speaker at more than ten international conferences during the last three years and is currently an IEEE Distinguished Lecturer in computational intelligence.  His research has been funded by several agencies in the United States, the European Commission and the Research Promotion Foundation of Cyprus. Dr. Polycarpou is a Fellow of the IEEE

Intelligent Monitoring and Fault Tolerance in Large-Scale Distributed Systems
Speaker: Marios Polycarpou


Electronic devices are starting to become widely available for monitoring and controlling large-scale distributed systems. These devices may include sensing capabilities for on-line measurement, actuators for controlling certain variables, microprocessors for processing information and making real-time decisions based on designed algorithms, and telecommunication units for exchanging information with other electronic devices or possibly with human operators.  A collection of such devices may be referred to as a networked intelligent agent system. Such systems have the capability to generate a huge volume of spatial-temporal data that can be used for monitoring and control applications of large-scale distributed systems. One of the most important research challenges in the years ahead is the development of information processing methodologies that can be used to extract meaning and knowledge out of the ever-increasing electronic information that will become available. Even more important is the capability to utilize the information that is being produced to design software and devices that operate seamlessly, autonomously and reliably in some intelligent manner. The ultimate objective is to design networked intelligent agent systems that can make appropriate real-time decisions in the management of large-scale distributed systems, while also providing useful high-level information to human operators.

One of the most important classes of large-scale distributed systems deals with the reliable operation and intelligent management of critical infrastructures, such as electric power systems, telecommunication networks, water systems, and transportation systems. The design, control and fault monitoring of critical infrastructure systems is becoming increasingly more challenging as their size, complexity and interactions are steadily growing. Moreover, these critical infrastructures are susceptible to natural disasters, frequent failures, as well as malicious attacks. There is a need to develop a common system-theoretic fault diagnostic framework for critical infrastructure systems and to design architectures and algorithms for intelligent monitoring, control and security of such systems. The goal of this presentation is to motivate the need for health monitoring, fault diagnosis and security of critical infrastructure systems and to provide a fault diagnosis methodology for detecting, isolating and accommodating both abrupt and incipient faults in a class of complex nonlinear dynamic systems. A detection and approximation estimator based on computational intelligence techniques is used for online health monitoring. Various adaptive approximation techniques and learning algorithms will be presented and illustrated, and directions for future research will be discussed.

Professor Marios Polycarpou

KIOS Research Center for Intelligent Systems and Networks

Department of Electrical and Computer Engineering, University of Cyprus

75 Kallipoleos Avenue, Nicosia, 1678, CYPRUS


Prof. Venkat Venkatasubramanian is a Professor of Chemical Engineering and a Professor  of Industrial and Physical Pharmacy (by courtesy) at Purdue University. He received his Ph. D. in Chemical Engineering (with a Minor in Theoretical Physics) from Cornell University, M.S. in Physics from Vanderbilt University, and B. Tech. in Chemical Engineering from the University of Madras, India. Venkat worked as a Research Associate in Artificial Intelligence in the School of Computer Science at Carnegie-Mellon University and taught at Columbia University before joining Purdue in 1988.  Prof. Venkatasubramanian's research contributions have been in the areas of process fault diagnosis and abnormal events management, risk identification and management in complex engineered systems, pharmaceutical engineering and informatics, product design via discovery informatics, systems biology, and complex adaptive systems using knowledge-based systems, neural networks, genetic algorithms, mathematical programming and statistical approaches.  His teaching interests include process design, process control, pharmaceutical engineering, systems biology, artificial intelligence, statistical physics, and applied statistics.

Prof. Venkatasubramanian has published 175 refereed papers, and delivered 130 invited lectures and seminars, including 18 keynote/plenary lectures, at various international conferences and institutions all over the world. He has authored or co-authored three books and co-edited two. Venkat has chaired or co-chaired over thirty international meetings, conferences and sessions in the areas of artificial intelligence applications in process engineering. Thirty doctoral and nine masters students have graduated under Venkat's supervision.

Prof. Venkatasubramanian's contributions have been recognized by several awards and honors. He was the 1990 recipient of the Eminent Overseas Lectureship Award from the Institution of Engineers in Australia. He received the Norris Shreve Award for Outstanding Teaching in Chemical Engineering in 1993, 2004 and 2006, and the Teaching for Tomorrow Award in 2004, both awarded by Purdue University. He is an Associate Editor of Computers and Chemical Engineering. In 1996, Industry week magazine selected him as “one of the fifty R&D stars in the United States whose achievements are shaping the future of our industrial culture and America's technology policy”. His co-authored paper on fault diagnosis was awarded the CAST Directors’ Award for the Best Poster Presentation at the 2000 AIChE Annual meeting. Venkat and his students were awarded the Best Paper Prize for 2002-05 from the Journal of Engineering Applications of Artificial Intelligence, sponsored by the International Federation of Automatic Control (IFAC), for a paper on abnormal events detection and process risk management. His co-authored paper on informatics won the 2006 Best Paper Prize from Computers and Chemical Engineering. He is a co-recipient of the Team Research Excellence Award from the College of Engineering, Purdue University, in 2007, for his contributions to the development of the discovery informatics framework for molecular products design. In 2007, Venkat was recognized for his outstanding teaching record at Purdue as the only faculty member in the College of Engineering to be elected to the Teaching Academy. In 2009, AIChE honored Venkat with the Computing in Chemical Engineering Award for his novel contributions to process systems engineering.

Abnormal Events Management in Complex Process Plants: Challenges, Opportunities, and Emerging Trends
Speaker: Venkat Venkatasubramanian


Abnormal situations arise in process plants when plants deviate from normal operational modes. Such excursions could have an adverse effect on product quality, process safety, occupational health, environmental quality and process economics. The economic impact of such abnormal situations is enormous; about $20 billion/year in losses in the petrochemical industries alone in the US. The cost is  much more when includes other industries such as pharmaceutical, specialty chemicals, and power industries. Furthermore, process safety, occupational health, and environmental hazards are ever increasing in importance in response to heightening public concern and the resultant tightening of regulations. Thus, there exists considerable incentive in developing appropriate solutions towards the management of abnormal situations in complex process plants. Practitioners in process industries view this as the next major challenge in control systems research and application.

There are two different, but related, components of the overall abnormal events  management (AEM) problem. One deals with the problem of process safety during real-time operations. The other deals with safety issues during the design and/or modifications of the plant or the processes. This is, of course, the domain of process hazards analysis (PHA). In both cases, one depends on humans to perform sophisticated cause-and-effect reasoning through hundreds of possibilities, and for real-time situations, often under enormous psychological strain. Accidents investigations have shown human errors, due to information overload, time pressure, and lack of adequate training, are often the major causes of accidents. As a result, researchers have been investigating the potential of intelligent systems for abnormal situation management and process hazards analysis. These two problem areas are now poised to play a dominant role in defining the course of process systems research and application for the coming decade. In this talk, I will present an overview of these two problem areas, the challenges we face and the encouraging emerging trends. Recent progress has promising implications on the use of intelligent systems for a variety of applications in the chemical, petrochemical, and pharmaceutical industries for inherently safer design, operator training, abnormal situation management, and optimal process operations.

Professor Venkat Venkatasubramanian

Laboratory for Intelligent Process Systems, School of Chemical Engineering,

Purdue University

W. Lafayette, IN 47907, USA


Submission of draft papers:

May 15th, May 30th, 2010

Notification of acceptance:

July 1st, July 19th, 2010

Final version due:

September 1st, 2010


Research Centre for Automatic Control of Nancy

IEEE Control Systems




How to deal with high availability and robustness in Space domain?
- FDI(R) for satellite at Thales Alenia Space
Speaker: Xavier Olive


Xavier OLIVE is research engineer at Thalès Alenia Space(*) France in the Research department. He is involved in the Satellite and Platform group. His research activities cover data handling and on- board software fields. He received a Ph.D. degree in model based  diagnosis (control and computer science) in 2003 from Paul Sabatier  University in Toulouse, France and an Engineering Degree from Ecole des Mines d'Alès, Alès, France, in 2000. His main interest deals with embedding autonomy into satellite / rover for a long term  Horizon.

(*) European leader for satellite systems and at the forefront of orbital infrastructures, Thales Alenia Space is a joint venture between Thales (67%) and Finmeccanica (33%) and forms with Telespazio a Space Alliance. Thales Alenia Space is a worldwide reference in telecoms, radar and optical Earth observation, defense and security, navigation and science. Thales Alenia Space has 11 industrial sites in 4 European countries (France, Italy, Spain and Belgium) with over 7,200 employees worldwide

Satellite evolution and wish to design more autonomous mission imply an enhancement of satellite architecture and to pay special attention to the FDIR. Nevertheless the constraints on the FDIR technique and strategy stay still invariant: robustness, reactive detection, quick isolation / identification and validation. This paper gives first the current context of FDIR by describing the approach implemented on Telecommunication satellite and more precisely one of the most FDIR sensible subsystem: the AOCS (Attitude and Orbit Control System). Following current state of FDIR in the Space domain, some perspectives will be introduced like a centralized distributed FDIR strategy for next generation of autonomous satellites and some research tracks like active diagnosis and hybrid diagnosis.

Doctor Xavier Olive

Thales Alenia Space France
26 avenue J.F. Champollion

BP 33787 - 31037 Toulouse Cedex 1, FRANCE