relation: http://eprints.imtlucca.it/537/
title: Feedback min-max model predictive control based on a quadratic cost function
creator: Muñoz de la Peña, David
creator: Alamo, Teodoro
creator: Bemporad, Alberto
creator: Camacho, Eduardo F.
subject: HB Economic Theory
subject: QA Mathematics
subject: TJ Mechanical engineering and machinery
description: Feedback min-max model predictive control based on a quadratic cost function is addressed in this paper. The main contribution is an algorithm for solving the min-max quadratic MPC problem with an arbitrary degree of approximation. The paper also introduces the "recourse horizon", which allows one to obtain a trade-off between computational complexity and performance of the control law. The results are illustrated by means of a simulation of a quadruple-tank process
publisher: IEEE
date: 2006
type: Book Section
type: PeerReviewed
identifier:   Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F.  Feedback min-max model predictive control based on a quadratic cost function.   In:  American Control Conference.   IEEE, 14th-16th June 2006 , pp. 1575-1680.  ISBN 1-4244-0209-3       (2006)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1656443&isnumber=34689
relation: 10.1109/ACC.2006.1656443