• DocumentCode
    2862959
  • Title

    U-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems

  • Author

    Azhar, Ali S Saad ; Al-Sunni, Fouad M. ; Shafiq, Muhammad

  • Author_Institution
    Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran
  • fYear
    2006
  • fDate
    24-26 May 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Bilinear systems are attractive candidates for many dynamical processes, since they allow a significantly larger class of behaviour than linear systems, yet retain a rich theory which is closely related to the familiar theory of linear systems. A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on radial basis functions neural networks which is known for mapping any nonlinear function. U-model is a control oriented model used to represent a wide range of non-linear discrete time dynamic plants. The proposed tracking scheme is presented and verified using simulation examples
  • Keywords
    MIMO systems; bilinear systems; discrete time systems; linear systems; neurocontrollers; radial basis function networks; MIMO bilinear system control; U-model based adaptive tracking scheme; bilinear systems; control oriented model; dynamical processes; linear systems; nonlinear discrete time dynamic plants; nonlinear function; radial basis functions neural networks; Control systems; Feedback control; Linear systems; MIMO; Nonlinear control systems; Nonlinear systems; Open loop systems; Robust stability; Sliding mode control; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2006 1ST IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-9513-1
  • Electronic_ISBN
    0-7803-9514-X
  • Type

    conf

  • DOI
    10.1109/ICIEA.2006.257063
  • Filename
    4025992