Muñoz de la Peña, David and Bemporad, Alberto and Filippi, Carlo Robust explicit MPC based on approximate multi-parametric convex programming. IEEE Transactions on Automatic Control , 51 (8). pp. 1399-1403. ISSN 0018-9286 (2006)
Full text not available from this repository.Abstract
Many robust model predictive control (MPC) schemes require the online solution of a computationally demanding convex program. For deterministic MPC schemes, multiparametric programming was successfully applied to move offline most of the computation. In this paper, we adopt a general approximate multiparametric algorithm recently suggested for convex problems and propose to apply it to a classical robust MPC scheme. This approach enables one to implement a robust MPC controller in real time for systems with polytopic uncertainty, ensuring robust constraint satisfaction and robust convergence to a given bounded set
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1109/TAC.2006.878755 |
| Uncontrolled Keywords: | multiparametric programming; polytopic uncertainty; robust constraint satisfaction; robust convergence; robust model predictive control schemes; uncertain systems; convex programming; predictive control; robust control; uncertain systems |
| Subjects: | 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 08:40 |
| Last Modified: | 05 Aug 2011 13:20 |
| URI: | http://eprints.imtlucca.it/id/eprint/489 |
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