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  • 标题:Consensus for linear agents with unknown parameters
  • 本地全文:下载
  • 作者:P. Rapisarda ; H. Sira-Ramírez ; R. Savva
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:2505-2510
  • DOI:10.1016/j.ifacol.2017.08.448
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe solve consensus problems for networks of identical linear agents whose dynamics is unknown except for the order. We estimate the unknown dynamics via an “extended state-observer”, and cancel it with a suitably designed control. The agent dynamics is thus approximated by that of an n-integrator, and standard protocols for networks of such type can then be used to achieve consensus for the network of original unknown agents.
  • 关键词:KeywordsMulti-agent systemsextended state-observersconsensus
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