• DocumentCode
    2006168
  • Title

    Nonlinear Optimal Control for Parameter-Dependent Polynomial Nonlinear Systems

  • Author

    Zhao, Dan ; Wang, Jian Liang ; Liao, Fang ; Poh, Eng Kee

  • Author_Institution
    Nanyang Technol. Univ., Singapore
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    1710
  • Lastpage
    1715
  • Abstract
    In this paper, we address the nonlinear optimal control problem for parameter-dependent nonlinear systems with polynomial vector fields. Based on the state dependent coefficient form, sufficient conditions to guarantee the closed-loop stability and bounded performance index are presented as state dependent linear matrix inequalities, which can be formulated as sum-of-squares based conditions and solved by semidefinite programming. A parameter-dependant Lyapunov function is adopted to reduce the conservativeness of the controller design.
  • Keywords
    Lyapunov methods; closed loop systems; control system synthesis; linear matrix inequalities; nonlinear control systems; optimal control; polynomial approximation; stability; closed-loop stability; controller design; linear matrix inequalities; nonlinear optimal control; parameter-dependant Lyapunov function; parameter-dependent polynomial nonlinear systems; performance index; polynomial vector fields; semidefinite programming; state dependent coefficient form; sum-of-squares based conditions; Linear matrix inequalities; Linear programming; Lyapunov method; Nonlinear systems; Optimal control; Performance analysis; Polynomials; Stability; Sufficient conditions; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376653
  • Filename
    4376653