• DocumentCode
    1196968
  • Title

    Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network

  • Author

    Hua, Changchun ; Guan, Xinping ; Shi, Peng

  • Author_Institution
    Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao
  • Volume
    18
  • Issue
    2
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    495
  • Lastpage
    505
  • Abstract
    In this paper, the problem of robust output tracking control for a class of time-delay nonlinear systems is considered. The systems are in the form of triangular structure with unmodeled dynamics. First, we construct an observer whose gain matrix is scheduled via linear matrix inequality approach. For the case that the information of uncertainties bounds is not completely available, we design an observer-based neural network (NN) controller by employing the backstepping method. The resulting closed-loop system is ensured to be stable in the sense of semiglobal boundedness with the help of changing supplying function idea. The observer and the controller designed are both independent of the time delays. Finally, numerical simulations are conducted to verify the effectiveness of the main theoretic results obtained
  • Keywords
    closed loop systems; control system synthesis; delay systems; feedback; linear matrix inequalities; neurocontrollers; nonlinear control systems; observers; robust control; backstepping method; closed loop system; linear matrix inequality; neural network control; observer; robust output feedback tracking control; time-delay nonlinear system; Backstepping; Control systems; Linear matrix inequalities; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Output feedback; Robust control; Uncertainty; Backstepping method; neural network (NN); observer design; time-delay systems; Algorithms; Artificial Intelligence; Computer Simulation; Feedback; Information Storage and Retrieval; Models, Theoretical; Neural Networks (Computer); Nonlinear Dynamics; Pattern Recognition, Automated; Time Factors;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2006.888368
  • Filename
    4118263