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  • 标题:Non-fragile Exponential Consensus of Nonlinear Multi-agent Systems via Sampled-data Control ⁎
  • 本地全文:下载
  • 作者:Ramasamy Saravanakumar ; Hiroaki Mukaidani ; Amir Amini
  • 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:5677-5682
  • DOI:10.1016/j.ifacol.2020.12.1591
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this article, non-fragile exponential consensus problem is investigated for nonlinear multi-agent systems (MASs) through the use of sampled-data controllers. The sampled-data system is translated to a continuous system with time-varying delay through input delay approach via control input. With the introduction of a sampled-data approach, the information is sent only to the network at each sampling instant and is inevitably subject to a transmission delay. By using the tools from algebraic graph theory and Lyapunov-Krasovskii functional (LKF) technique, it is proved that the concerned non-fragile consensus problem is solvable if the resultant consensus error system can be exponentially stabilized. Numerical example is given to illustrate the merits of the results obtained.
  • 关键词:KeywordsNonlinear multi-agent systemsNon-fragile consensus controlSampled-data control
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