|TOPIC||:||Nonlinear Fault Diagnosis of Dynamical Systems: An Adaptive Approximation Approach|
|SPEAKER||:||Professor Marios Polycarpou,
Department of Electrical and Computer Engineering
University of Cyprus, Cyprus
|DATE||:||11 February 2009 (Wednesday)|
|TIME||:||2.30 pm to 3.30 pm|
|VENUE||:||E1A-3-13, Engineering block E1A, NUS|
|One of the key goals of intelligent control systems is to achieve high performance with increased reliability, greater availability, and automation of maintenance procedures. Continuous demand for greater productivity has led to more challenging operating conditions for many modern industrial systems. Such conditions increase the possibility of system faults, which are characterized by critical and unpredictable changes in system dynamics.
In this presentation, we present a unified methodology for detecting, isolating and accommodating both abrupt and incipient faults in a class of nonlinear dynamic systems. Various adaptive approximation techniques and learning algorithms will be presented and illustrated, and directions for future research will be discussed.
|Marios Polycarpou is a Professor of Electrical and Computer Engineering and Director of the KIOS Research Center for Intelligent Systems and Networks at the University of Cyprus. He has published one book and more than 185 articles in refereed journals, edited books and refereed conference proceedings. He is also the holder of 3 patents. Dr. Polycarpou is the Editor-in-Chief of the IEEE Transactions on Neural Networks and a Fellow of the IEEE. He is an elected AdCom Member of the IEEE Computational Intelligence Society and an elected BoG member of the IEEE Control Systems Society.|
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