• DocumentCode
    2994782
  • Title

    A Model Set Design Method Based on Idiotypic Network

  • Author

    Xu, Xue-song ; Zhang, Yong-xian ; Ji, Di

  • Author_Institution
    Sch. of Electr. & Electron. Eng., East China Jiaotong Univ., Nanchang, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    Model set design method has been one of the focuses of the research on multi-model control. The immune system is a excellent biological multi-model control system. In the immune system, the antibody is the model of antigen. Many kinds of antibodies constitute the idiotypic network. This network can be regarded as the model set of antigens. Among these antibodies there exists interaction. Through this interaction the structure of idiotypic network can be adjusted to maintain the diversity of antibodies. Self-adjustment of the idiotypic network can be regarded as the optimization of the model set. Inspired by this thought, the idiotypic network was used to represent the model set of complex uncertain dynamic process. Corresponding training algorithm was given. Simulation results showed this new model set design method is effective.
  • Keywords
    biocontrol; biology; antibody; antigen; biological multimodel control system; idiotypic network; immune system; model set design method; training algorithm; uncertain dynamic process; Automation; Biological system modeling; Computational modeling; Computers; Design methodology; Immune system; Instruments; Idiotypic network; Multi-model control; Uncertain dynamic process; model set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.33
  • Filename
    5630603