• DocumentCode
    2007594
  • Title

    Research on Multivariable Time Delay System Multi-step Predictive Dynamic Modeling

  • Author

    Shi, Buhai ; Zhu, Xuefeng

  • Author_Institution
    South China Univ. of Technol., Gangzhou
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    2044
  • Lastpage
    2048
  • Abstract
    This paper introduces a dynamic modeling method of multi-step predictive neural network in the large time delay system, and discusses the algorithm and structure of neural network and dynamic response characteristics of the large time delay system in detail. Especially, based on single variable time delay system modeling framework, a new algorithm is presented to implement the neural network multi-step predictive modeling of multivariable large time delay system. According to the data of the waterworks coagulating sedimentation time delay system, the simulation of the multivariable multi-step predictive modeling shows that these results are effective.
  • Keywords
    coagulation; delay systems; delays; multivariable control systems; neurocontrollers; predictive control; purification; sedimentation; simulation; water treatment; multistep predictive dynamic modeling; multivariable time delay system; neural network; simulation; waterworks coagulating sedimentation; Artificial neural networks; Automatic control; Automation; Convergence; Delay effects; Fuzzy control; Fuzzy neural networks; Neural networks; Predictive models; Three-term control; LMBP; coagulating sedimentation system; dynamic modeling; multi-step predictive; time delay system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376720
  • Filename
    4376720