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  • 标题:A spectral small-gain condition for input-to-state stability of infinite networks
  • 本地全文:下载
  • 作者:Christoph Kawan ; Andrii Mironchenko ; Abdalla Swikir
  • 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:5303-5308
  • DOI:10.1016/j.ifacol.2020.12.1214
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a tight small-gain theorem for networks composed of infinitely many finite-dimensional subsystems. Assuming that each subsystem is exponentially input-to-state stable, we show that if the gain operator, collecting all the information about the internal Lyapunov gains, has a spectral radius less than one, the overall infinite network is exponentially input-to-state stable. We illustrate the effectiveness of our result by applying it to traffic networks.
  • 关键词:KeywordsNonlinear systemssmall-gain theoremsinfinite-dimensional systemsinput-to-state stabilityLyapunov methodslarge-scale systems
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