Marios M. Polycarpou
KIOS Research Center for Intelligent Systems and Networks
Department of Electrical and Computer Engineering
University of Cyprus 75 Kallipoleos, CY-1678 Nicosia Cyprus
Email: [email protected]
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 on-line, 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 two decades 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 based control will be presented and illustrated, and directions for future research will be discussed.
Biography
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. Prior to joining the University of Cyprus as founding Department Chair in 2001, he was Professor of Electrical and Computer Engineering and Computer Science at the University of Cincinnati, Ohio, USA. His teaching and research interests are in intelligent systems and control, fault diagnosis, computational intelligence, adaptive and cooperative control systems, and large-scale systems, where he has published over 230 papers and is the holder of 3 patents. Prof. Polycarpou is a Fellow of the IEEE and currently serves as the President of the IEEE Computational Intelligence Society. He has served as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems from 2004 until 2010. He participated in more than 60 research projects/grants, funded by several agencies and industry in Europe and the United States. In 2011, Dr. Polycarpou was awarded the prestigious European Research Council (ERC) Advanced Grant.
