eprintid: 560 rev_number: 9 eprint_status: archive userid: 7 dir: disk0/00/00/05/60 datestamp: 2011-07-27 09:02:33 lastmod: 2011-08-04 07:29:08 status_changed: 2011-07-27 09:02:33 type: book_section metadata_visibility: show contact_email: alberto.bemporad@imtlucca.it item_issues_count: 0 creators_name: Bemporad, Alberto creators_id: alberto.bemporad@imtlucca.it title: Multiparametric nonlinear integer programming and explicit quantized optimal control ispublished: pub subjects: QA subjects: QA75 subjects: TJ divisions: CSA full_text_status: none keywords: cost function; nonlinear integer programming; optimal control; optimization variables; state vector; integer programming; nonlinear programming; optimal control; quantisation (signal) abstract: This paper deals with multiparametric nonlinear integer programming problems where the optimization variables belong to a finite set and where the cost function and the constraints depend in an arbitrary nonlinear fashion on the optimization variables and in a linear fashion on the parameters. We examine the main theoretical properties of the optimizer and of the optimum as a function of the parameters, and propose a solution algorithm. The methodology is employed to investigate properties of quantized optimal control laws and optimal performance, and to obtain their explicit representation as a function of the state vector. date: 2003-12 date_type: published publication: Proc. 42th IEEE Conf. on Decision and Control volume: 3 publisher: IEEE place_of_pub: Maui, Hawaii USA, December 2003 pagerange: 3167-3172 event_dates: Maui, Hawaii, USA id_number: 10.1109/CDC.2003.1273110 refereed: TRUE isbn: 0-7803-7924-1 book_title: Decision and Control Conference official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1273110&isnumber=28482 citation: Bemporad, Alberto Multiparametric nonlinear integer programming and explicit quantized optimal control. In: Decision and Control Conference. IEEE, Maui, Hawaii USA, December 2003, pp. 3167-3172. ISBN 0-7803-7924-1 (2003)