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  • 标题:New Results on Stabilization of Stochastic Switching Systems Subject to Partly Available Semi-Markov Kernel ⁎
  • 本地全文:下载
  • 作者:Zepeng Ning ; Bo Cai ; Ruixian Zhang
  • 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:1930-1935
  • DOI:10.1016/j.ifacol.2020.12.2586
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper investigates the stabilization issue for a class of discrete-time stochastic switching systems. The switching behavior is dominated by a semi-Markov process with finite sojourn time. Allowing for the fact that it is often difficult to get complete semi-Markov kernel (SMK) in practice, the elements in SMK of the model under study are considered to be partly accessible, which is more general than both semi-Markov model with complete SMK and Markov model with unknown transition probabilities. Sufficient stability condition is derived for the underlying system without any a priori knowledge, based on which a stabilization criterion is presented such that the closed-loop stochastic switching systems can be mean-square stable. In the end, the validity of the theoretical results is testified by a numerical example.
  • 关键词:KeywordsPartly available semi-Markov kernelsemi-Markov chainstabilitystabilizationstochastic switching systems
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