DocumentCode
434679
Title
A dynamic programming approach for determining the explicit solution of linear MPC controllers
Author
Munoz de la Pena, David ; Alamo, T. ; Bemporad, A. ; Camacho, E.F.
Author_Institution
Dep. de Ingenieria de Sistemas y Automatica, Seville Univ., Spain
Volume
3
fYear
2004
fDate
14-17 Dec. 2004
Firstpage
2479
Abstract
Recently multi-parametric methods have been applied with success to model predictive control (MPC) schemes. In this paper we propose a novel method for linear systems to obtain the explicit description of the control law that is based on dynamic programming and exploits the structure of the MPC formulation.
Keywords
discrete time systems; dynamic programming; linear systems; predictive control; dynamic programming approach; explicit solution; linear MPC controllers; linear systems; model predictive control; multi-parametric methods; multiparametric programming; Control systems; Dynamic programming; Linear programming; Linear systems; Optimal control; Predictive control; Predictive models; Quadratic programming; Space exploration; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1428785
Filename
1428785
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