Approximation of Model Predictive Control Laws for Polynomial Systems

Autor: Vito Cerone, Diego Regruto, Dario Piga, Massimo Canale
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
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