relation: http://eprints.imtlucca.it/533/
title: A decomposition algorithm for feedback min-max model predictive control
creator: Muñoz de la Peña, David
creator: Bemporad, Alberto
creator: Alamo, Teodoro
subject: QA Mathematics
subject: QA75 Electronic computers. Computer science
description: An algorithm for solving feedback min-max model predictive control for discrete time uncertain linear systems with constraints is presented in the paper. The algorithm solves the corresponding multi-stage min-max linear optimization problem. It 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: 2005
type: Book Section
type: PeerReviewed
identifier:   Muñoz de la Peña, David and Bemporad, Alberto and Alamo, Teodoro  A decomposition algorithm for feedback min-max model predictive control.   In:  Decision and Control and European Control Conference.   IEEE, 12th-15th Dec. 2005 , pp. 5126-5131.  ISBN 0-7803-9567-0       (2005)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1582975&isnumber=33412
relation: 10.1109/CDC.2005.1582975