Comparison of four procedures for the identification of hybrid systems

Aleksandar Lj Juloski, W. P.M.H. Heemels, Giancarlo Ferrari-Trecate, René Vidal, Simone Paoletti, J. H.G. Niessen

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

91 Citations (Scopus)

Abstract

In this paper we compare four recently proposed procedures for the identification of Piece Wise AutoRegressive eXogenous (PWARX) and switched ARX models. We consider the clustering-based procedure, the bounded-error procedure, and the Bayesian procedure which all identify PWARX models. We also study the algebraic procedure, which identifies switched linear models. We introduce quantitative measures for assessing the quality of the obtained models. Specific behaviors of the procedures are pointed out, using suitably constructed one dimensional examples. The methods are also applied to the experimental identification of the electronic component placement process in pick-and-place machines. © Springer-Verlag Berlin Heidelberg 2005.
Original languageEnglish
Title of host publicationHybrid systems: computation and control : 8th international workshop, HSCC 2005, Zurich, Switzerland, March 9-11, 2005 ; proceedings
EditorsM. Morari, L. Thiele
Place of PublicationBerlin
PublisherSpringer
Pages354-369
Number of pages16
ISBN (Electronic)978-3-540-31954-2
ISBN (Print)978-3-540-25108-8
DOIs
Publication statusPublished - 14 Sep 2005

Publication series

NameLecture Notes in Computer Science
Volume3414
ISSN (Print)0302-9743

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