Sopasakis, Pantelis and Patrinos, Panagiotis and Sarimveis, Haralambos MPC for Sampled-Data Linear Systems: guaranteeing continuous-time positive invariance. IEEE Transactions on Automatic Control , 59 (4). pp. 1088-1093. ISSN 0018-9286 (2014)
Full text not available from this repository.Abstract
Model Predictive Controllers (MPC) designed for sampled-data systems can be shown to violate the constraints in continuous time. A reformulation of the initial problem will guarantee constraint satisfaction throughout the intersample period. Polytopic inclusions of the continuous trajectory are used in this paper to establish additional constraints leading to a linearly constrained quadratic optimization problem. Continuous time asymptotic stability and continuous-time positive invariance are proven for the reformulated problem.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1109/TAC.2013.2285786 |
| Uncontrolled Keywords: | Continuous invariance; model predictive control; polytopic overapproximation; sampled data |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Research Area: | Computer Science and Applications |
| Depositing User: | Users 44 not found. |
| Date Deposited: | 25 Oct 2013 08:30 |
| Last Modified: | 16 Jun 2014 10:17 |
| URI: | http://eprints.imtlucca.it/id/eprint/1841 |
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