• DocumentCode
    234150
  • Title

    Adaptive pinning consensus of networked multi-agent systems with nonlinear couplings and directed graphs

  • Author

    Bohui Wang ; Jingcheng Wang ; Yi Zhang ; Langwen Zhang ; Zhengfeng Liu ; Kang Li

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    1668
  • Lastpage
    1673
  • Abstract
    Consensus is a fundamental and important problem for cooperative control. This paper mainly studies the consensus of networked multi-agent systems with nonlinear couplings via pinning control. An adaptive desired weighting consensus protocol is proposed to control a small fraction of pinned agents for directed graphs. Then, an adaptive controller gain average consensus protocol is presented via the selected pinning agents for weighted directed graphs. Sufficient conditions for achieving the desired consensus asymptotically are proved. Finally, theoretical results are validated via simulations.
  • Keywords
    adaptive control; directed graphs; feedback; multi-agent systems; networked control systems; nonlinear control systems; adaptive controller gain average consensus protocol; adaptive desired weighting consensus protocol; adaptive pinning consensus; cooperative control; networked multiagent systems; nonlinear couplings; pinned agents; pinning control; sufficient conditions; weighted directed graphs; Adaptive control; Couplings; Multi-agent systems; Protocols; Trajectory; Vectors; Adaptive control gain; Adaptive desired weighting; Average consensus; Consensus; Networked multi-agent systems; Pinning control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896879
  • Filename
    6896879