• DocumentCode
    2079800
  • Title

    Neuro-genetic nonlinear controller for a micro-resonator

  • Author

    Ibrahim, H.E. ; Zohdy, M.A.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
  • Volume
    5
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    3835
  • Abstract
    The nonlinear coupling stiffness for a two degree of freedom micro-resonator is shown to have a strong effect on the micro-resonator output frequency and performance. By controlling the stiffness parameters. A smart controller design is proposed, based on artificial neural network and genetic techniques. A good performance is obtained. The genetic algorithm functions to optimize the magnitudes and sign of the neural network weights.
  • Keywords
    control system synthesis; feedforward neural nets; genetic algorithms; intelligent control; microactuators; micromechanical resonators; neurocontrollers; nonlinear control systems; comb-drives; neuro-genetic nonlinear controller; nonlinear coupling stiffness; smart controller design; two degree of freedom micro-resonator; Artificial neural networks; Control systems; Couplings; Frequency; Genetic algorithms; Mathematical model; Neurons; Optical resonators; Systems engineering and theory; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2002. Proceedings of the 2002
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7298-0
  • Type

    conf

  • DOI
    10.1109/ACC.2002.1024526
  • Filename
    1024526