In this paper we focus on the identification of discrete- time hybrid systems in the Piece-Wise Affine (PWA) form. This problem can be formulated as the recon- struction of a possibly discontinuous PWA map with a multi-dimensional domain. In order to achieve our goal, we propose an algorithm that exploits the com- bined use of clustering; linear identification, and clas- sification techniques. This allows to identlfy both the affine submodels and the polyhedral partition of the do- main on which each submodel is valid.

Identification of piecewise affine and hybrid systems

M Muselli;D Liberati;
2001

Abstract

In this paper we focus on the identification of discrete- time hybrid systems in the Piece-Wise Affine (PWA) form. This problem can be formulated as the recon- struction of a possibly discontinuous PWA map with a multi-dimensional domain. In order to achieve our goal, we propose an algorithm that exploits the com- bined use of clustering; linear identification, and clas- sification techniques. This allows to identlfy both the affine submodels and the polyhedral partition of the do- main on which each submodel is valid.
2001
Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni - IEIIT
Nonlinear identification
hybrid systems
clustering
linear regression
classification
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/221008
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