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  • 标题:Computing controlled invariant sets for hybrid systems with applications to model-predictive control
  • 本地全文:下载
  • 作者:Benoît Legat ; Paulo Tabuada ; Raphaël M. Jungers
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:16
  • 页码:193-198
  • DOI:10.1016/j.ifacol.2018.08.033
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, we develop a method for computing controlled invariant sets using Semidefinite Programming. We apply our method to the controller design problem for switching affine systems with polytopic safe sets. The task is reduced to a semidefinite programming problem by enforcing an invariance relation in the dual space of the geometric problem. The paper ends with an application to safety critical model predictive control.
  • 关键词:KeywordsController SynthesisSet InvarianceLMIsScalable Methods
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