TY  - JOUR
IS  - 10
JF  - IEEE Transactions on Automatic Control
PB  - IEEE
EP  - 1692
ID  - eprints490
N2  - An algorithm for solving feedback min-max model predictive control for discrete-time uncertain linear systems with constraints is presented in this note. The algorithm 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
SN  - 0018-9286
KW  - decomposition algorithm; discrete time uncertain linear system; feedback min-max model predictive control; finite time system; discrete time systems; feedback; linear systems; predictive control; uncertain systems
Y1  - 2006/10//
UR  - http://eprints.imtlucca.it/490/
A1  - Muņoz de la Peņa, David
A1  - Alamo, Teodoro
A1  - Bemporad, Alberto
A1  - Camacho, Eduardo F.
VL  - 51
SP  - 1688
TI  - A decomposition algorithm for feedback min-max model predictive control
AV  - none
ER  -