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文章基本信息

  • 标题:Nonlinear Uncertainties Canceling in Multi-Agent Systems Enabled by Cooperative Adaptation
  • 本地全文:下载
  • 作者:Cyuansi Shih ; Chengyu Cao
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2018
  • 卷号:2018
  • DOI:10.1155/2018/3927108
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This paper deals with uncertainties problem in multi-agent systems with novel cooperative adaptation approach. Since uncertainties in multi-agent systems are interconnected, local agent often faces uncertainties not only from itself but also from neighbors. The proposed approach is that a local agent estimates uncertainties from itself and neighboring agents and then changes control strategy. The uncertainties or the equivalences of neighbors can be estimated based on their available outputs; thus, the local agent can adapt to them to cancel out these effects. Stability analysis is also derived that characterizes the transient and steady state performance of multi-agent system. The simulation presents the details of the proposed cooperative adaptation mechanism by compared typical cooperative control.
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