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
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;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1428785
