• DocumentCode
    2474679
  • Title

    LQG Predicted Controller based on RBF neural network

  • Author

    Du, Yongfeng ; Liu, Yanhui ; Li, Hui

  • Author_Institution
    Minist. of Educ., Northwest Center for Disaster Mitigation in Civil Eng., Lanzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    33
  • Lastpage
    38
  • Abstract
    The characters of radial basis function neural network (RBFNN) and linear quadratic Guassian (LQG) algorithm are introduced. For the effect of time lag in the process of structural vibration control, linear quadratic Guassian predicted controller (LQGPC) is presented based on RBFNN. This controller can decrease the influence of time lag availably. A five -story base isolated frame structure is used to evaluate the control effect in the case of time lag and no time lag. Simulation results show that control effect of LQG and LQGPC is equivalent and both two algorithms can decrease the response of the structure effectively in the case of no time lag, but LQGPC still has better ability of controlling structural response in the case of time lag existing in system.
  • Keywords
    Gaussian processes; linear quadratic Gaussian control; neurocontrollers; predictive control; radial basis function networks; structural engineering; vibration control; LQG predicted controller; RBF neural network; control effect; isolated frame structure; linear quadratic Guassian algorithm; linear quadratic Guassian predicted controller; radial basis function neural network; structural response; structural vibration control; time lag; Artificial neural networks; Control systems; Displacement control; Earthquakes; Force control; Intelligent control; Isolation technology; Magnetic variables control; Neural networks; Vibration control; Base Isolation; LQG Controller; RBFNN; Smart Isolation; Vibration Control of Structures;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4592899
  • Filename
    4592899