• DocumentCode
    1714895
  • Title

    Adaptive fuzzy solution of Hamilton-Jacobi partial differential inequality and its application to H∞ nonlinear control

  • Author

    Chen, Yung-Yue ; Chen, Bor-Sen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • Volume
    2
  • fYear
    2001
  • Firstpage
    708
  • Abstract
    An adaptive fuzzy control approach based on solving Hamilton-Jacobi partial differential inequality (HJPDI) is proposed for the nonlinear H∞ control problem, which is commonly encountered in the nonlinear robust control system analysis and design. The solution of Hamilton-Jacobi partial differential inequality is approximated using adaptive fuzzy on-line learning along the dynamic trajectories of the closed-loop system.
  • Keywords
    H∞ control; adaptive control; closed loop systems; fuzzy control; nonlinear control systems; robust control; state feedback; H∞ nonlinear control; Hamilton-Jacobi partial differential inequality; adaptive fuzzy control; adaptive fuzzy online learning; adaptive fuzzy solution; closed-loop system; dynamic trajectories; nonlinear robust control system analysis; Adaptive control; Control systems; Control theory; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Riccati equations; Robustness; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1009053
  • Filename
    1009053
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1714895