relation: http://eprints.imtlucca.it/490/
title: A decomposition algorithm for feedback min-max model predictive control
creator: Muñoz de la Peña, David
creator: Alamo, Teodoro
creator: Bemporad, Alberto
creator: Camacho, Eduardo F.
subject: QA Mathematics
subject: TA Engineering (General). Civil engineering (General)
description: An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linear systems with constraints is presented in this note. The algorithm is based on applying recursively a decomposition technique to solve the min-max problem via a sequence of low complexity linear programs. It is proved that the algorithm converges to the optimal solution in finite time. Simulation results are provided to compare the proposed algorithm with other approaches
publisher: IEEE
date: 2006-10
type: Article
type: PeerReviewed
identifier:   Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F.  A decomposition algorithm for feedback min-max model predictive control.  IEEE Transactions on Automatic Control, 51 (10).  pp. 1688-1692.  ISSN 0018-9286      (2006)  
relation: 10.1109/TAC.2006.883062