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A decomposition algorithm for feedback min-max model predictive control

Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F. A decomposition algorithm for feedback min-max model predictive control. IEEE Transactions on Automatic Control, 51 (10). pp. 1688-1692. ISSN 0018-9286 (2006)

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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

Item Type: Article
Identification Number: 10.1109/TAC.2006.883062
Uncontrolled Keywords: 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
Subjects: Q Science > QA Mathematics
T Technology > TA Engineering (General). Civil engineering (General)
Research Area: Computer Science and Applications
Depositing User: Professor Alberto Bemporad
Date Deposited: 27 Jul 2011 08:40
Last Modified: 05 Aug 2011 13:20
URI: http://eprints.imtlucca.it/id/eprint/490

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