• Title of article

    Observer-based adaptive fuzzy tracking control for a class of uncertain nonlinear MIMO systems

  • Author/Authors

    Liu، نويسنده , , Yan-Jun and Tong، نويسنده , , Shaocheng and Li، نويسنده , , Tie-Shan، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2011
  • Pages
    20
  • From page
    25
  • To page
    44
  • Abstract
    This paper addresses the adaptive fuzzy tracking control problem for a class of uncertain nonlinear MIMO systems with the external disturbances. The adaptive fuzzy controllers are designed under the constraint that only system output is available for measurement. Then, it is needed to design a state observer to estimate the unmeasured states. In the observer design procedure, two prominent advantages are that it does not require the sign of the control gain coefficient to be known and only two parameters need to be adjusted on-line for each subsystem. By using Lyapunov analysis method, it is proven that all the signals in the closed-loop system are guaranteed to be bounded and the system outputs track the reference signals to a bounded compact set. The feasibility of the proposed approach is validated by using two simulation examples.
  • Keywords
    Adaptive fuzzy control , Nonlinear MIMO systems , State observer , Nussbaum-gain technique
  • Journal title
    FUZZY SETS AND SYSTEMS
  • Serial Year
    2011
  • Journal title
    FUZZY SETS AND SYSTEMS
  • Record number

    1601249