Recursive Identification of Piecewise Affine Hybrid Systems

Author

Tabatabaci-Pour, M. ; Gholami, M. ; Shaker, H.R. ; Moshiri, B.

Author_Institution

Dept. or Autom. & Instrum., Pet. Univ. of Technol., Tehran

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

6

Abstract

In this paper we propose a procedure for recursive identification of discrete time piecewise affine (PWA) hybrid systems. The PWA identification problem involves the estimation of both the parameters of affine submodels and the partition of the PWA map from data. In this paper the submodel parameters estimation problem is solved via recursive k-plane clustering algorithm and the problem of region estimation is performed by incremental proximal support vector machine. Also, the effect of mode switching on the estimated parameters convergence is investigated

Keywords

continuous systems; discrete time systems; pattern classification; pattern clustering; recursive estimation; support vector machines; discrete time systems; incremental proximal support vector machine; mode switching; parameter estimation; pattern classification; piecewise affine hybrid systems; recursive identification; recursive k-plane clustering algorithm; region estimation; Automation; Clustering algorithms; Convergence; Instruments; Parameter estimation; Partitioning algorithms; Petroleum; Recursive estimation; Support vector machine classification; Support vector machines; Classification; Clustering; Hybrid systems; Piecewise affine systems; Recursive Identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on

Conference_Location

Singapore

Print_ISBN

1-4244-0341-3

Type

conf

DOI

10.1109/ICARCV.2006.345421

Filename

4150225