• DocumentCode
    3425408
  • Title

    A new search procedure for distributed parameter identification

  • Author

    Sun, M.

  • Author_Institution
    Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA
  • fYear
    1997
  • fDate
    9-11 Mar 1997
  • Firstpage
    452
  • Lastpage
    456
  • Abstract
    Distributed parameter identification arises in many fields of applications. Identifying spatially varying parameters has been a challenging topic both theoretically and numerically. We introduce some preliminary results regarding a new identification procedure designed for identifying unknown parameter zones under very weak assumptions. The procedure incorporates a few innovative ideas into standard genetic algorithm framework. Two examples are tested and results are presented to illustrate this new approach
  • Keywords
    distributed parameter systems; genetic algorithms; parameter estimation; search problems; distributed parameter identification; identification procedure; search procedure; spatially varying parameters; standard genetic algorithm framework; unknown parameter zones; very weak assumptions; Boundary conditions; Electronic mail; Equations; Genetic algorithms; Mathematics; Parameter estimation; Shape; Steady-state; Sun; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1997., Proceedings of the Twenty-Ninth Southeastern Symposium on
  • Conference_Location
    Cookeville, TN
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7873-9
  • Type

    conf

  • DOI
    10.1109/SSST.1997.581704
  • Filename
    581704