Comparison of Four Procedures for the Identification of Hybrid Systems

In this paper we compare four recently proposed procedures for the identification of PieceWise 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...

Full description

Saved in:
Bibliographic Details
Published inHybrid Systems: Computation and Control pp. 354 - 369
Main Authors Juloski, Aleksandar Lj, Heemels, W. P. M. H., Ferrari-Trecate, Giancarlo, Vidal, René, Paoletti, Simone, Niessen, J. H. G.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Bayesian Procedure
Hybrid System
Model Order
Price Function
Tuning Parameter
Online AccessGet full text

Cover

More Information
Summary:In this paper we compare four recently proposed procedures for the identification of PieceWise 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.
ISBN:3540251081
9783540251088
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-31954-2_23