Adaptive Approximation Based Feedback Control and Fault Diagnosis

Marios M. Polycarpou

Department of Electrical and Computer Engineering

University of Cyprus

75 Kallipoleos Avenue, P.O. Box 20537

Nicosia, 1678, Cyprus

Abstract
     Recent technological advances in computing hardware, communications and real-time software have provided the infrastructure for designing intelligent decision and control systems. Based on current trends, high performance feedback systems of the future will require greater autonomy in a number of frontiers. First, they need to be able to deal with greater levels of, possibly, time-varying uncertainty. Second, they need to be able to handle uncertainties in the environment, which will allow the feedback system to be more flexible in dealing with unanticipated events such as faults, obstacles and disturbances. Finally, key advances in distributed and mobile computing will allow for exciting possibilities in distributed decision making and control by agent-type systems. This will require feedback systems to operate in distributed environments with cooperative capabilities.  One of the key tools for realizing such advances in the performance and autonomy of feedback systems is "learning." Feedback systems with learning capabilities can potentially help reduce modeling uncertainty adaptively, make feedback systems more "intelligent" in the presence of uncertainty in the environment, and initiate design methods for cooperative feedback systems in distributed environments. During the last decade there has been a variety of learning techniques developed for feedback systems, based on structures such as neural networks, fuzzy systems, wavelets, etc. The goal of this presentation is to provide a unifying framework for designing and analyzing feedback systems with learning capabilities. Various adaptive approximation techniques and learning algorithms will be presented and illustrated, and directions for future research will be discussed.

Biosketch
    Marios M. Polycarpou received the B.A. (Cum Laude) degree in Computer Science and the B.Sc. (Cum Laude) 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 is currently a Professor and Interim Dept. Head. His teaching 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 150 articles in refereed journals, edited books and refereed conference proceedings, and co-authored (with Jay Farrell) the book Adaptive Approximation Based Control, to be published by Wiley in March 2006. He is also the holder of 3 patents. He is currently the Editor-in-Chief of the IEEE Transactions on Neural Networks. 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 is 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 has been invited as Keynote Plenary Speaker at several international conferences and served as General Chair of the joint 2005 IEEE International Symposium on Intelligent Control and 2005 Mediterranean Conference on Control and Automation. Dr. Polycarpou is a Fellow of the IEEE and his research has been funded by DARPA, US Air Force, European Commission, American Water Works Association (AWWA), Federal Highway Administration (FHWA), ONR, NASA, Ohio DOT, US Army, and the National Promotion Foundation ( Cyprus).