%T Feedback min-max model predictive control based on a quadratic cost function
%P 1575-1680
%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
%A David Mu?oz de la Pe?a
%A Teodoro Alamo
%A Alberto Bemporad
%A Eduardo F. Camacho
%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
%D 2006
%L eprints537
%C 14th-16th June 2006 
%B American Control Conference
%J American Control Conference
%R 10.1109/ACC.2006.1656443