Canale, Massimo and Cerone, Vito and Piga, Dario and Regruto, Diego Approximation of model predictive control laws for polynomial systems. Asian Journal of Control , 16 (5). pp. 1425-1436. ISSN 1561-8625 (2014)
Full text not available from this repository.Abstract
A fast implementation of a given predictive controller for polynomial systems is introduced by approximating the optimal control law with a piecewise constant function defined over a hyper-cube partition of the system state space. Such a state-space partition is computed in order to guarantee stability, an a priori fixed trajectory error as well as input and state constraints fulfilment. The presented approximation procedure is achieved by solving a set of nonconvex polynomial optimization problems, whose approximate solutions are computed by means of semidefinite relaxation techniques for semialgebraic problems.
| Item Type: | Article |
|---|---|
| Identification Number: | https://doi.org/10.1002/asjc.863 |
| Uncontrolled Keywords: | LMI relaxation, polynomial optimization, model predictive control |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Research Area: | Computer Science and Applications |
| Depositing User: | Ms T. Iannizzi |
| Date Deposited: | 13 Jan 2015 14:22 |
| Last Modified: | 13 Jan 2015 14:22 |
| URI: | http://eprints.imtlucca.it/id/eprint/2475 |
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