Approximation of Model Predictive Control Laws for Polynomial Systems
Autor: | Vito Cerone, Diego Regruto, Dario Piga, Massimo Canale |
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Rok vydání: | 2014 |
Předmět: | |
Zdroj: | Asian Journal of Control. 16:1425-1436 |
ISSN: | 1561-8625 |
DOI: | 10.1002/asjc.863 |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |
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