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Recent Techniques for the Identification of Piecewise Affine and Hybrid Systems
Eindhoven University of Technology, Netherlands.
Università degli Studi di Siena, Italy.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2006 (English)In: Current Trends in Nonlinear Systems and Control: In Honor of Petar Kokotovic and Turi Nicosia / [ed] Laura Menini, Luca Zaccarian, Chaouki T. Abdallah, Petar V. Kokotovic, Turi Nicosia, Boston: Birkhäuser , 2006, 79-99 p.Chapter in book (Other academic)
Abstract [en]

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.

Place, publisher, year, edition, pages
Boston: Birkhäuser , 2006. 79-99 p.
Keyword [en]
System identification, Piecewise affine systems
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-36934DOI: 10.1007/0-8176-4470-9_5Local ID: 33085ISBN: 0817644709OAI: diva2:257783
Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2013-12-16Bibliographically approved

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Roll, Jacob
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Automatic ControlThe Institute of Technology
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ReferencesLink to record
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