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  • 标题:Sampled-Data Set Stabilization of Switched Boolean Control Networks
  • 本地全文:下载
  • 作者:Amol Yerudkar ; Carmen Del Vecchio ; Luigi Glielmo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:6139-6144
  • DOI:10.1016/j.ifacol.2020.12.1694
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper, the set stabilization of switched Boolean control networks (SBCNs) under sampled-data feedback control is addressed. Here, the control input is switching signal-dependent, and SBCNs can switch only at the sampling instants. First, the sampled point control invariant subset (SPCIS) of SBCNs is defined, and an algorithm is provided to obtain the largest SPCIS under arbitrary switching signal. Based on the largest SPCIS, some necessary and sufficient conditions are presented for the set stabilization of SBCNs by switching signal-dependent sampled-data (SSDSD) state feedback control. Furthermore, a constructive procedure is given to design all possible SSDSD state feedback controllers. Finally, some examples are presented to illustrate the effectiveness of the obtained results.
  • 关键词:KeywordsSwitched Boolean control networksSampled-data controlSet stabilizationAll possible controllersSystems biology
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