%0 Book Section
%A Muñoz de la Peña, David
%A Alamo, Teodoro
%A Bemporad, Alberto
%A Camacho, Eduardo F.
%B American Control Conference
%C 14th-16th June 2006 
%D 2006
%F eprints:537
%I IEEE
%K computational complexity; feedback min-max model predictive control; linear systems; optimization algorithms; cost function; quadruple-tank process; recourse horizon; robust control; feedback; linear systems; minimax techniques; predictive control; robust control
%P 1575-1680
%T Feedback min-max model predictive control based on a quadratic cost function
%U http://eprints.imtlucca.it/537/
%X 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