Model predictive control for max-plus-linear systems via optimistic optimization

Autor:	B. De Schutter, T.J.J. van den Boom, Jun Xu
Rok vydání:	2014
Předmět:	Nonlinear optimization problem Model predictive control Mathematical optimization Sequence Tree (data structure) Computer science Control (management) Linear system Node (circuits) General Medicine
Zdroj:	WODES Scopus-Elsevier
ISSN:	1474-6670
DOI:	10.3182/20140514-3-fr-4046.00063
Popis:	The model predictive control problem for max-plus-linear discrete-event systems generally leads to a nonlinear optimization problem, which may be hard to solve efficiently. In this paper, we propose to apply optimistic optimization to resolve this problem. The algorithm builds a tree where each selected control sequence corresponds to a node of the tree. An optimistic exploration of the tree is implemented, where the most promising control sequences are explored first. We give an example to illustrate the effectiveness of the method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3116ff41f0e40eee99406271986a816a https://doi.org/10.3182/20140514-3-fr-4046.00063 Zobrazit plný text záznamu