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  • 标题:Model predictive control for constrained uncertain, time-varying systems
  • 本地全文:下载
  • 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
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