Direct adaptive fuzzy output tracking control of nonlinear systems

  • Authors:
  • Shaocheng Tong;Han-Xiong Li

  • Affiliations:
  • Department of Basic Mathematics of Liaoning Institute of Technology, Jinzhou, 121001, People's Republic of China;Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong

  • Venue:
  • Fuzzy Sets and Systems - Featured Issue: Selected papers from ACIDCA 2000
  • Year:
  • 2002

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Abstract

A stable direct adaptive fuzzy output tracking control scheme is developed for the single-input-single-output (SISO) unknown nonlinear systems. Using a high-gain observer, the proposed adaptive fuzzy algorithm does not require the state variables to be measurable. First, a direct adaptive fuzzy state controller is constructed with the aid of its H∞ control technique to achieve the H∞ tracking performance. Afterwards, a high-gain observer is used to estimate the system states, by which the above adaptive fuzzy state controller becomes an adaptive fuzzy output feedback control. The proposed control scheme can guarantee the stability of the closed-loop system and the good tracking performance as well.