• DocumentCode
    3566958
  • Title

    Stability analysis of Universal Learning Network

  • Author

    Yu, Yunqing ; Hirasawa, Kotaro ; Ohbayashi, Masanao ; Murata, Junichi

  • Author_Institution
    Dept. of Electr. & Electron. Syst. Eng., Kyushu Univ., Fukuoka, Japan
  • Volume
    4
  • fYear
    1997
  • Firstpage
    3993
  • Abstract
    The Universal Learning Network (ULN) is a tool for modeling, managing and controlling large scale complicated systems. In the complicated systems, stability is one of the most important subjects. Stability analysis is discussed, based on the concept of nth order asymptotic orbital stability analysis method of the system constructed by ULN. The nth order asymptotic orbital stability for the system mentioned above is defined by using the higher order derivatives of ULN which has been already reported. So the stability analysis by the nth order asymptotic orbital stability is proposed. By using this stability analysis method, we can easily calculate the exact deviation of the dynamics systems which are disturbed. Finally, an example of the stability analysis are shown by simulation results of a nonlinear crane control system
  • Keywords
    asymptotic stability; cranes; intelligent control; learning (artificial intelligence); materials handling; nonlinear control systems; Universal Learning Network; dynamics systems; higher order derivatives; large scale complicated systems control; nonlinear crane control system; nth order asymptotic orbital stability analysis method; simulation results; stability analysis; Asymptotic stability; Delay effects; Fluctuations; Input variables; Large-scale systems; Linear approximation; Lyapunov method; Nonlinear systems; Sampling methods; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-4053-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.1997.633296
  • Filename
    633296