Recursive Identification of Piecewise Affine Hybrid Systems

Recursive Identification of Piecewise Affine Hybrid Systems

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 parameter...

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Hauptverfasser: Tabatabaci-Pour, M., Gholami, M., Shaker, H.R., Moshiri, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Automation
Classification
Clustering
Clustering algorithms
Convergence
Hybrid systems
Instruments
Parameter estimation
Partitioning algorithms
Petroleum
Piecewise affine systems
Recursive estimation
Recursive Identification
Support vector machine classification
Support vector machines
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Beschreibung
Zusammenfassung: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
DOI:10.1109/ICARCV.2006.345421