Observer-based direct adaptive fuzzy control of uncertain nonlinear systems and its applications

  • Yan-Jun Liu
  • Shao-Cheng Tong
  • Wei Wang
  • Yong-Ming Li
Technical Notes and Correspondence

Abstract

A direct adaptive fuzzy control algorithm is developed for a class of uncertain SISO nonlinear systems. In this algorithm, it doesn’t require to assume that the system states are measurable. Therefore, it is needed to design an observer to estimate the system states. Compared with the numerous alternative approaches with respect to the observer design, the main advantage of the developed algorithm is that on-line computation burden is alleviated. It is proven that the developed algorithm can guarantee that all the signals in the closed-loop system are uniformly ultimately bounded and the tracking error converges to a small neighborhood around zero. The simulation examples validate the feasibility of the developed algorithm.

Keywords

Adaptive fuzzy control nonlinear systems uncertainties 

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Copyright information

© The Institute of Control, Robotics and Systems Engineers and The Korean Institute of Electrical Engineers and Springer-Verlag Berlin Heidelberg GmbH 2009

Authors and Affiliations

  • Yan-Jun Liu
    • 1
  • Shao-Cheng Tong
    • 1
  • Wei Wang
    • 2
  • Yong-Ming Li
    • 1
  1. 1.Department of Mathematics and PhysicsLiaoning University of TechnologyJinzhou, LiaoningP. R. China
  2. 2.Research Center of Information and ControlDalian University of TechnologyDalian, LiaoningP. R. China

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