• DocumentCode
    3261325
  • Title

    Design of controller for nonlinear system using dynamic neural unit model

  • Author

    Seong-Wook, Park ; Bo-Hyeok, Seo

  • Author_Institution
    Dept. of Electr. Eng., Kyungpook Nat. Univ., Taegu, South Korea
  • Volume
    5
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    2519
  • Abstract
    The conventional neural network models are a parody of biological neural structures, and have very slow learning. In order to emulate some dynamic functions, such as learning and adaptation, and to better reflect the dynamics of biological neurons, Gupta-Rao have developed a “dynamic neural model” (DNU). The proposed neural unit model is to introduce some dynamics to the neuron transfer function, such that the neuron activity depends on internal states. Integrating an dynamic elementary processor within the neuron allows the neuron to act dynamic response. Numerical examples are presented for a model system. The case studies showed that the proposed DNU can be useful in practical sense
  • Keywords
    adaptive control; control system synthesis; dynamic response; feedforward neural nets; neurocontrollers; nonlinear systems; transfer functions; adaptive control; controller design; dynamic neural unit model; dynamic response; internal states; multilayer neural networks; neuron transfer function; nonlinear systems; Biological system modeling; Control system synthesis; Network address translation; Neural networks; Neurofeedback; Neurons; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.487758
  • Filename
    487758