• DocumentCode
    3533196
  • Title

    Neural regulator design for parabolic distributed parameter systems with constraints in control

  • Author

    Petrov, Peter ; Toshkova, Daniela ; Filchev, Todor

  • Author_Institution
    Production Autom., Tech. Univ. of Varna, Varna, Bulgaria
  • fYear
    2010
  • fDate
    7-9 July 2010
  • Firstpage
    242
  • Lastpage
    247
  • Abstract
    In the present paper the problem of optimal control synthesis for a class of parabolic distributed parameter systems with constraints in control is considered. The problem is solved by using Pontryagin´s maximum principle and the control is generated by a neural network.
  • Keywords
    constraint theory; control system synthesis; distributed parameter systems; maximum principle; neurocontrollers; Pontryagin maximum principle; control constraints; neural network; neural regulator design; optimal control synthesis; parabolic distributed parameter systems; Automatic control; Control system synthesis; Control systems; Distributed parameter systems; Equations; Network synthesis; Neural networks; Nonlinear control systems; Optimal control; Regulators; control constraints; distributed parameter systems; neural controllers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (IS), 2010 5th IEEE International Conference
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5163-0
  • Electronic_ISBN
    978-1-4244-5164-7
  • Type

    conf

  • DOI
    10.1109/IS.2010.5548393
  • Filename
    5548393