eprintid: 453 rev_number: 10 eprint_status: archive userid: 7 dir: disk0/00/00/04/53 datestamp: 2011-07-27 08:45:11 lastmod: 2011-08-04 07:29:07 status_changed: 2011-07-27 08:45:11 type: article 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: A bounded-error approach to piecewise affine system identification ispublished: pub subjects: QA subjects: TA divisions: CSA full_text_status: none keywords: bounded error approach; linear complementary inequalities; multiclass linear separation technique; parameter estimation; parametric identification; piecewise affine autoregressive exogenous model; piecewise affine system identification; autoregressive processes; boundary-value problems; parameter estimation; piecewise linear techniques abstract: This paper proposes a three-stage procedure for parametric identification of piecewise affine autoregressive exogenous (PWARX) models. The first stage simultaneously classifies the data points and estimates the number of submodels and the corresponding parameters by solving the partition into a minimum number of feasible subsystems (MIN PFS) problem for a suitable set of linear complementary inequalities derived from data. Second, a refinement procedure reduces misclassifications and improves parameter estimates. The third stage determines a polyhedral partition of the regressor set via two-class or multiclass linear separation techniques. As a main feature, the algorithm imposes that the identification error is bounded by a quantity δ. Such a bound is a useful tuning parameter to trade off between quality of fit and model complexity. The performance of the proposed PWA system identification procedure is demonstrated via numerical examples and on experimental data from an electronic component placement process in a pick-and-place machine. date: 2005-10 date_type: published publication: IEEE Transactions on Automatic Control volume: 50 number: 10 publisher: IEEE pagerange: 1567-1580 id_number: 10.1109/TAC.2005.856667 refereed: TRUE issn: 0018-9286 related_url_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1516258&isnumber=32481 citation: Bemporad, Alberto and Garulli, Andrea and Paoletti, Simone and Vicino, Antonio A bounded-error approach to piecewise affine system identification. IEEE Transactions on Automatic Control , 50 (10). pp. 1567-1580. ISSN 0018-9286 (2005)