eprintid: 554 rev_number: 9 eprint_status: archive userid: 7 dir: disk0/00/00/05/54 datestamp: 2011-07-27 09:04:05 lastmod: 2011-08-04 07:29:08 status_changed: 2011-07-27 09:04:05 type: book_section metadata_visibility: show contact_email: alberto.bemporad@imtlucca.it item_issues_count: 0 creators_name: Bemporad, Alberto creators_name: Garulli, Andrea creators_name: Paoletti, Simone creators_name: Vicino, Antonio creators_id: alberto.bemporad@imtlucca.it creators_id: creators_id: creators_id: title: Set membership identification of piecewise affine models ispublished: pub subjects: QA75 subjects: TJ divisions: CSA full_text_status: none keywords: Nonlinear identification; hybrid system; bounded error; data classification; parameter estimation abstract: This paper addresses the problem of identification of piecewise affine (PWA)models, which involves the joint estimations of both the parameters of the affine submodels and the partition of the PWA map from data. According to ideas from set-membership identification, the key approach is to characterize the model by its maximum allowed prediction error, which is used as a tuning knob for traning off between prediction accuracy and model complexity. At initialization, the proposed procedure for PWA identification exploits a technique per partitioning an infeasible system of linear inequalities into a (possibly minimum) number of feasible subsystems. This provides both an initial clustering of the datapoints and a guess of the number of required submodels, which therefore is not fixed a priori. A refinement procedure is then applied in order to improve both data classification and parameter estimation. The partition of the PWA maps is finally estimated by considering multicategory classification techniques. date: 2003 date_type: published publication: 13th IFAC Symposium on System Identification publisher: Elsevier pagerange: 1789-1794 event_dates: Rotterdam, The Netherlands refereed: TRUE isbn: 978-0-08-043709-5 book_title: System Identification 2003 : a proceeding volume from the 13th IFAC Symposium on System Identification editors_name: Van Den Hof, Paul editors_name: Wahlberg, Bo editors_name: Weiland, Siep related_url_url: http://www.elsevierdirect.com/product.jsp?isbn=0080437095 related_url_type: pub citation: Bemporad, Alberto and Garulli, Andrea and Paoletti, Simone and Vicino, Antonio Set membership identification of piecewise affine models. In: System Identification 2003 : a proceeding volume from the 13th IFAC Symposium on System Identification. Elsevier, pp. 1789-1794. ISBN 978-0-08-043709-5 (2003)