• DocumentCode
    350085
  • Title

    Controlling chaos in a chaotic neutron

  • Author

    Ren, Xiaolin ; Hu, Guangrui ; Tan, Zhenghua

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., China
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    652
  • Abstract
    In this paper, the problem of controlling chaos in a chaotic neuron is investigated. Specially, a simpler pulse feedback method is introduced, in which constant pulses are used to control chaos. The authors call this method the constant pulse feedback (CPF) method. The CPF method does not require any a priori knowledge of the dynamics of the system, such as the stable fixed points or unstable periodic orbits. The stability analysis is employed to study the nature of controlling chaos of the CPF method, and then the method is applied to control chaos in a neuron when it is in chaotic state. Both theoretical and numerical results show CPF method can stabilize the neuron state on desired fixed points or periodic orbits efficiently
  • Keywords
    chaos; control system analysis; control system synthesis; feedback; neurocontrollers; stability; chaos control; chaotic neutron; constant pulse feedback; fixed points; periodic orbits; pulse feedback method; stability analysis; Chaos; Control systems; Equations; Neurofeedback; Neurons; Nonlinear dynamical systems; Nonlinear systems; Olfactory; Orbits; Stability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 1999. IECON '99 Proceedings. The 25th Annual Conference of the IEEE
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    0-7803-5735-3
  • Type

    conf

  • DOI
    10.1109/IECON.1999.816473
  • Filename
    816473