• DocumentCode
    2843086
  • Title

    Decentralized linear feedback optimal control of large-scale nonlinear systems

  • Author

    Sun, Liang ; Wang, Xia ; Fan, Ming-Qu

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Technol., Shandong Univ. of Sci. & Technol., Jinan, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    3529
  • Lastpage
    3534
  • Abstract
    Decentralized optimal control for large-scale nonlinear systems with respect to local performance criteria is considered. A decoupled linear Two-Point Boundary Value (TPBV) problem sequence is constructed to approximate the nonlinear coupling large-scale TPBV problem, which is the necessary condition of the nonlinear optimal control problem. We prove that the constructed linear TPBV problem sequence uniformly converges to the nonlinear TPBV problem. By iteratively solving this linear TPBV problem sequence, a decentralized linear feedback optimal control law is obtained. An algorithm is presented to design some qualified approximate optimal control law by using a finite iteration result. An illustrative example shows the validity of the algorithm.
  • Keywords
    decentralised control; feedback; linear systems; nonlinear systems; optimal control; decentralized linear feedback optimal control; decoupled linear two-point boundary value problem sequence; finite iteration; large-scale nonlinear systems; nonlinear optimal control problem; Control systems; Distributed control; Feedback; Iterative algorithms; Large-scale systems; Neural networks; Nonlinear equations; Nonlinear systems; Optimal control; Riccati equations; Decentralized control; Large-scale systems; Nonlinear systems; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498549
  • Filename
    5498549