Recent techniques for the identification of piecewise affine and hybrid systems

A.L. Juloski, S. Paoletti, J. Roll

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

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Abstract

The problem of piecewise affine identification is addressed by studying four recently proposed techniques for the identification of PWARX/HHARX models, namely a Bayesian procedure, a bounded-error procedure, a clustering-based procedure and a mixed-integer programming procedure. The four techniques are compared on suitably defined one-dimensional examples, which help to highlight the features of the different approaches with respect to classification, noise and tuning parameters. The procedures are also tested on the experimental identification of the electronic component placement process in pick-and-place machines.
Original languageEnglish
Title of host publicationCurrent Trends in Nonlinear Systems and Control
EditorsL. Menini, L. Zacharian, C. Abdallah
Place of PublicationBoston
PublisherBirkhäuser Verlag
Pages79-99
Number of pages21
ISBN (Print)0-8176-4470-9
DOIs
Publication statusPublished - 2005

Publication series

NameSystems and control : foundations and applications
ISSN (Print)2324-9749

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Juloski, A. L., Paoletti, S., & Roll, J. (2005). Recent techniques for the identification of piecewise affine and hybrid systems. In L. Menini, L. Zacharian, & C. Abdallah (Eds.), Current Trends in Nonlinear Systems and Control (pp. 79-99). (Systems and control : foundations and applications). Boston: Birkhäuser Verlag. https://doi.org/10.1007/0-8176-4470-9_5