• DocumentCode
    1731857
  • Title

    Distributed output regulation for discrete-time nonlinear multi-agent systems based on fuzzy models

  • Author

    Liu Jia ; Chen Zengqiang ; Cui Shigang

  • Author_Institution
    Tianjin Key Lab. of Inf. Sensing & Intell. Control, Tianjin Univ. of Technol. & Educ., Tianjin, China
  • fYear
    2013
  • Firstpage
    7039
  • Lastpage
    7044
  • Abstract
    This paper deals with the distributed output regulation problem for the discrete-time nonlinear multi-agent systems based on fuzzy models. T-S fuzzy models are constructed to approximate the considered nonlinear multi-agent model, then we design the distributed feedback controller to guarantee the following agents asymptotically track the reference generated by an exosystem. The exosystem can be viewed as an active leader in the multi-agent systems, and the state of exosystem is assumed to be not completely measurable for each following agent. Finally, a numerical simulation example is provided to demonstrate the effectiveness of the obtained results.
  • Keywords
    control system synthesis; discrete time systems; distributed control; fuzzy control; multi-agent systems; multi-robot systems; nonlinear control systems; numerical analysis; T-S fuzzy models; Takagi-Sugeno fuzzy models; discrete-time nonlinear multi-agent systems; distributed feedback controller design; distributed output regulation; exosystem state; numerical simulation; Educational institutions; Equations; Mathematical model; Multi-agent systems; Nonlinear systems; Regulators; Symmetric matrices; Coordinative Control; Discrete-Time Systems; Multi-agent Systems; Output Regulation; T-S Fuzzy Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640675