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