TY  - CHAP
UR  - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1582975&isnumber=33412
Y1  - 2005///
KW  - Optimization algorithms; Predictive control for linear systems; Uncertain systems
AV  - none
TI  - A decomposition algorithm for feedback min-max model predictive control
CY  - 12th-15th Dec. 2005 
N2  - An algorithm for solving feedback min-max model predictive control for discrete time uncertain linear systems with constraints is presented in the paper. The algorithm solves the corresponding multi-stage min-max linear optimization problem. It is based on applying recursively a decomposition technique to solve the min-max problem via a sequence of low complexity linear programs. It is proved that the algorithm converges to the optimal solution in finite time. Simulation results are provided to compare the proposed algorithm with other approaches. 
SP  - 5126
SN  - 0-7803-9567-0 
PB  - IEEE
A1  - Muņoz de la Peņa, David
A1  - Bemporad, Alberto
A1  - Alamo, Teodoro
T2  - Decision and Control and European Control Conference
EP  - 5131
ID  - eprints533
ER  -