DocumentCode
1751608
Title
Identification of piecewise affine and hybrid systems
Author
Ferrari-Trecate, Giancmlo ; Muselli, Marco ; Liberati, Diego ; Morari, Manfred
Author_Institution
Inst. fur Automatik, Eidgenossische Tech. Hochschule, Zurich, Switzerland
Volume
5
fYear
2001
fDate
2001
Firstpage
3521
Abstract
We focus on the identification of discrete time hybrid systems in the piecewise affine (PWA) form. This problem can be formulated as the reconstruction of a possibly discontinuous PWA map with a multidimensional domain. In order to achieve our goal, we propose an algorithm that exploits the combined use of clustering, linear identification, and classification techniques. This allows one to identify both the affine sub-models and the polyhedral partition of the domain on which each submodel is valid
Keywords
autoregressive processes; discrete time systems; identification; pattern clustering; clustering; discrete time systems; hybrid systems; identification; linear regression; mixed logic dynamical form; multidimensional domain; piecewise ARX models; piecewise affine form; Bioinformatics; Circuits; Clustering algorithms; Genomics; Logic; Marine technology; Multi-layer neural network; Neural networks; Partitioning algorithms; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2001. Proceedings of the 2001
Conference_Location
Arlington, VA
ISSN
0743-1619
Print_ISBN
0-7803-6495-3
Type
conf
DOI
10.1109/ACC.2001.946178
Filename
946178
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