• DocumentCode
    3678084
  • Title

    Adaptive H1 consensus control of multi-agent systems preceded by input nonlinearities

  • Author

    Yoshihiko Miyasato

  • Author_Institution
    Department of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics, 190-8562 Tachikawa, Tokyo, Japan
  • fYear
    2015
  • Firstpage
    670
  • Lastpage
    675
  • Abstract
    Design methods of adaptive H∞ consensus control of multi-agent systems composed of the first-order and the second-order regression models with input nonlinearities such as dead-zone or backlash, are presented in this paper. The proposed control schemes are derived as solutions of certain H∞ control problems, where estimation errors of tuning parameters and imperfect knowledge of the leader are regarded as external disturbances to the processes.
  • Keywords
    "Multi-agent systems","Adaptation models","Control systems","Tuning","Adaptive control","Symmetric matrices"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2015 IEEE International Symposium on
  • ISSN
    2158-9860
  • Electronic_ISBN
    2158-9879
  • Type

    conf

  • DOI
    10.1109/ISIC.2015.7307287
  • Filename
    7307287