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)
Full text not available from this repository.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 |
|---|---|
| Identification Number: | https://doi.org/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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