• DocumentCode
    1797908
  • Title

    Distributed LQR design for multi-agent systems on directed graph topologies

  • Author

    Tao Feng ; Huaguang Zhang ; Yanhong Luo ; Yingchun Wang

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2732
  • Lastpage
    2737
  • Abstract
    In this paper, the inverse optimal approach is employed to design distributed cooperative control protocols for identical linear systems that guarantee consensus and global optimality with respect to a positive (semi-) definite quadric performance index. Cooperative control and pinning control problems are considered, where the communication graphs are assumed to be directed and have fixe topology. Simple sufficient conditions are established, which indicate that the global optimality is achieved using local distributed protocols which are designed by the linear quadric regulator (LQR) based optimal control method. Examples are given to show the effectiveness of the proposed methods.
  • Keywords
    control system synthesis; directed graphs; distributed control; linear quadratic control; linear systems; multi-robot systems; LQR based optimal control method; communication graphs; directed graph topology; distributed LQR design; distributed cooperative control protocols; inverse optimal approach; linear quadric regulator design; linear systems; multi-agent systems; pinning control; semidefinite quadric performance index; sufficient conditions; Couplings; Educational institutions; Eigenvalues and eigenfunctions; Laplace equations; Optimal control; Protocols; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889679
  • Filename
    6889679