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Identification Algorithms for Hybrid Systems POSTPONED

One of the main features of hybrid systems is their capability of modeling complex behaviors through the switching between simple modes of operation. A classical example is provided by Piece-Wise Affine (PWA) systems where the overall nonlinear dynamics is captured by affine submodels defined on different regions of the state and input space. In this talk we present various techniques for black-box identification of PWA systems, which ultimately amounts to the reconstruction of a possibly discontinuous PWA map from a finite set of noisy data. Differently from other nonlinear learning methods, the goal here is to estimate both the affine submodels and the polyhedral partition of the regressor space on which each submodel is valid. The key problem in PWA regression is to classify the data, i.e. to group together data points that have been generated by the same submodel. Theoretical and experimental results will be discussed in order to characterize the classification properties of the algorithms. Finally, as a case study, we present the identification of an electronic-component placement process in printed circuit board assembly lines.
Type of Seminar:
Public Seminar
Dr. Giancarlo Ferrari-Trecate
INRIA Domaine de Voluceau Rocquencourt - B.P.105 78153 Le Chesnay Cedex France
Jun 11, 2003   17:15

Contact Person:

Prof. M. Morari
No downloadable files available.
Biographical Sketch:
Giancarlo Ferrari Trecate was born in Casorate Primo, Italy, in 1970. He received the "Laurea" degree in Computer Engineering in 1995 and the Ph.D. degree in Electronic and Computer Engineering in 1999, both from the University of Pavia. In spring 1998 he was visiting researcher at the Neural Computing Research Group, University of Birmingham, UK. In fall 1998 he joined the Automatic Control Laboratory at ETH (Zurich, Switzerland) as a Postdoctoral fellow. In 1999 he won the grant ``assegno di ricerca'' at the University of Pavia and in 2000 he was appointed Oberassistent at ETH. Currently, he works at INRIA (Rocquencourt, France) as a Research Fellow. His research interests include hybrid systems, Bayesian learning, fuzzy models and linear periodic systems.