Bemporad, Alberto and Giovanardi, L. and Torrisi, Fabio Danilo Performance driven reachability analysis for optimal scheduling and control of hybrid systems. In: Decision and Control Conference. IEEE, pp. 969-974. (2000)
Full text not available from this repository.Abstract
We deal with the optimal control problem for piecewise linear and hybrid systems by using a computational approach based on performance-driven reachability analysis. The idea consists of coupling a reach-set exploration algorithm, essentially based on a repetitive use of linear programming, to a quadratic programming solver which selectively drives the exploration. In particular, an upper bound on the optimal cost is continually updated during the procedure, and used as a criterion to discern non-optimal evolutions and to prevent their exploration. The result is an efficient strategy of branch-and-bound nature, which is especially attractive for solving long-horizon hybrid optimal control and scheduling problems
| Item Type: | Book Section |
|---|---|
| Identification Number: | https://doi.org/10.1109/CDC.2000.912899 |
| Additional Information: | Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, 12 - 15 dic 2000 |
| Uncontrolled Keywords: | NP hard problem; branch-and-bound; hybrid systems; linear programming; optimal control; piecewise linear systems; quadratic programming; reachability analysis; scheduling; upper bound; computational complexity; linear programming; nonlinear systems; optimal control; quadratic programming; reachability analysis |
| Subjects: | Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TJ Mechanical engineering and machinery |
| Research Area: | Computer Science and Applications |
| Depositing User: | Professor Alberto Bemporad |
| Date Deposited: | 27 Jul 2011 09:16 |
| Last Modified: | 17 Jul 2014 12:19 |
| URI: | http://eprints.imtlucca.it/id/eprint/575 |
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