eprintid: 591 rev_number: 10 eprint_status: archive userid: 7 dir: disk0/00/00/05/91 datestamp: 2011-07-27 09:20:47 lastmod: 2014-07-16 12:59:48 status_changed: 2011-07-27 09:20:47 type: book_section metadata_visibility: show item_issues_count: 0 creators_name: Bemporad, Alberto creators_name: Mosca, Edoardo creators_id: alberto.bemporad@imtlucca.it creators_id: title: Nonlinear predictive reference governor for constrained control systems ispublished: pub subjects: HB subjects: QA75 divisions: CSA full_text_status: none keywords: asymptotic stability; computational complexity; filtering theory; nonlinear control systems; performance index; predictive control abstract: This paper presents a new methodology for solving control problems where hard contraints on the state and/or the inputs of the system are present. This is achieved by adding to the control architecture a command governor which prefilters the reference to be tracked, taking into account the current value of the state and aiming at optimizing a tracking performance index. The overall system is proved to be asymptotically stable, and feasibility is ensured by a weak condition on the initial state linear loops, a complete solution is developed for the latter. The resulting online computational burden turns out to be moderate and the related operations executable with current low-priced computing hardware date: 1995 date_type: published publication: Proc. 34th IEEE Conf. on Decision and Control volume: 2 publisher: IEEE place_of_pub: New Orleans, December 1995 pagerange: 1205-1210 event_dates: New Orleans, LA id_number: 10.1109/CDC.1995.480261 refereed: TRUE isbn: 0-7803-2685-7 book_title: Decision and Control Conference official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=480261&isnumber=10221 citation: Bemporad, Alberto and Mosca, Edoardo Nonlinear predictive reference governor for constrained control systems. In: Decision and Control Conference. IEEE, New Orleans, December 1995, pp. 1205-1210. ISBN 0-7803-2685-7 (1995)