Muñoz de la Peña, David and Alamo, Teodoro and Bemporad, Alberto and Camacho, Eduardo F.
*Feedback min-max model predictive control based on a quadratic cost function.*
In:
American Control Conference.
IEEE, 14th-16th June 2006 , pp. 1575-1680.
ISBN 1-4244-0209-3
(2006)

## Abstract

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

Item Type: | Book Section |
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Identification Number: | 10.1109/ACC.2006.1656443 |

Uncontrolled Keywords: | 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 |

Subjects: | H Social Sciences > HB Economic Theory Q Science > QA Mathematics T Technology > TJ Mechanical engineering and machinery |

Research Area: | Computer Science and Applications |

Depositing User: | Professor Alberto Bemporad |

Date Deposited: | 27 Jul 2011 08:44 |

Last Modified: | 05 Aug 2011 13:44 |

URI: | http://eprints.imtlucca.it/id/eprint/537 |

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