• DocumentCode
    342689
  • Title

    GP based design method for control systems via Hamilton-Jacobi-Bellman equations

  • Author

    Imae, Joe ; Takahashi, Junya

  • Author_Institution
    Fac. of Eng., Iwate Univ., Morioka, Japan
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3001
  • Abstract
    We deal with the design problem of feedback control synthesis via the Hamilton-Jacobi-Bellman equation. Making use of the emergent property of genetic programming (GP), we propose a new approach for obtaining the value functions approximately. Some numerical examples are demonstrated to illustrate the practicability of our control design method
  • Keywords
    control system synthesis; feedback; function approximation; genetic algorithms; optimal control; performance index; Hamilton-Jacobi-Bellman equations; control synthesis; control system design; dynamic systems; feedback; function approximation; genetic programming; optimal control; performance index; Adaptive control; Control design; Control systems; Design engineering; Design methodology; Differential equations; Dynamic programming; Genetic programming; Nonlinear equations; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1999. Proceedings of the 1999
  • Conference_Location
    San Diego, CA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4990-3
  • Type

    conf

  • DOI
    10.1109/ACC.1999.782311
  • Filename
    782311
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=342689