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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Munoz de la Pena Bemporad, A. Filippi, C. |
| Copyright Year | 2004 |
| Description | Author affiliation: Dep. de Ingenieria de Sistemas y Automatica, Univ. de Sevilla, Spain (Munoz de la Pena) |
| Abstract | Many robust model predictive control (MPC) schemes require the online solution of a convex program, which can be computationally demanding. For deterministic MPC schemes, multi-parametric programming was successfully applied to move most computations offline. In this paper we adopt a general approximate multi-parametric algorithm recently suggested for convex problems and propose to apply it to a classical robust WC 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. |
| Starting Page | 2491 |
| Ending Page | 2496 |
| File Size | 310127 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780386825 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2004.1428788 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-12-14 |
| Publisher Place | Bahamas |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Robustness Robust control Uncertainty Predictive models Predictive control Control systems Cost function Real time systems Convergence Uncertain systems |
| Content Type | Text |
| Resource Type | Article |
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