• DocumentCode
    501779
  • Title

    The Design of an Observer-Based Neural Adaptive Controller for a Class of Nonlinear Systems with Input-Constrained

  • Author

    Min, Fang ; Xueyan, Yang ; Hui, Fang ; Xiaoli, Bai

  • Author_Institution
    Sch. of Control Sci. & Eng., Univ. of Jinan, Jinan, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    This paper focuses on the adaptive control of a class of nonlinear systems with unknown saturation constraint imposed on the control input. By constructing neural network, a observer-based approach is developed using nonlinear output feedback techniques.The simulation example is given to illustrate the effectiveness of this method.
  • Keywords
    adaptive control; control system synthesis; feedback; neurocontrollers; nonlinear control systems; observers; input-constrained nonlinear system; neural network; observer-based neural adaptive controller design; output feedback; unknown saturation constraint; Adaptive control; Control systems; Design engineering; Error correction; Hydraulic actuators; Neural networks; Nonlinear control systems; Nonlinear systems; Output feedback; Programmable control; Adaptive control; Neural networks; Observers; Saturation constraint;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.135
  • Filename
    5254432
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=501779