A New Approach to Nonlinear Tracking Control Based on Fuzzy Approximation


  • Zhenbin Du Yantai University, Yantai, Shandong 264005, China
  • Tsung-Chih Lin Feng-Chia University Taichung, 40724, Taiwan
  • Valentina E. Balas Aurel Vlaicu University B-dul Revolutiei 77 310130 Arad, Romania


fuzzy T-S model, fuzzy logic systems, nonlinear systems, uncertainties, tracking control


The problem of tracking control is addressed for a class of nonlinear systems with uncertainties. The original nonlinear systems are approximated by a fuzzy T-S model based on which a state-feedback controller is constructed by using the linear matrix inequalities. The approximating error is eliminated by an adaptive compensator based on fuzzy logic systems. The effectiveness of the proposed control scheme is demonstrated by a simulation example. The main advantage is that the designer makes milder constraint assumption for the approximation error and the uncertainties in nonlinear systems.


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