TY - CHAP ID - eprints537 UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1656443&isnumber=34689 EP - 1680 PB - IEEE KW - 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 AV - none SN - 1-4244-0209-3 T2 - American Control Conference SP - 1575 Y1 - 2006/// A1 - Muņoz de la Peņa, David A1 - Alamo, Teodoro A1 - Bemporad, Alberto A1 - Camacho, Eduardo F. CY - 14th-16th June 2006 N2 - 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 TI - Feedback min-max model predictive control based on a quadratic cost function ER -