Article
A descomposition Algorithm for Feedback Min-Max Model predictive Control
Author/s | Muñoz de la Peña Sequedo, David
Alamo, Teodoro Bemporad. A. Camacho, Eduardo F. |
Department | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática |
Publication Date | 2006 |
Deposit Date | 2020-03-19 |
Published in |
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Abstract | 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 ... 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 |
Citation | Muñoz de la Peña Sequedo, D., Alamo, T., Bemporad. A., y Camacho, E.F. (2006). A descomposition Algorithm for Feedback Min-Max Model predictive Control. IEEE Transactions on Automatic Control, 51 (10), 1688-1692. |
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