文章基本信息

标题：Model predictive control for constrained uncertain, time-varying systems
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作者：Hoai-Nam Nguyen ; Per-Olof Gutman
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：11
页码：930-935
DOI：10.1016/j.ifacol.2015.09.310
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a new state feedback model predictive control for polytopic uncertain and/or time-varying linear discrete-time systems with input and state constraints is proposed. The main idea is to incorporate state decomposition principle and model predictive control in order to obtain a large domain of attraction using a short prediction horizon. At each time instant a quadratic programming problem is solved on-line. Proofs of recursive feasibility and asymptotic stability are given.
关键词：KeywordsModel Predictive ControlConstrained ControlUncertain SystemQuadratic Programming