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Combined indirect and direct method for adaptive fuzzy output feedback control of nonlinear system

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4 Author(s)
Quanxin, Ding ; Coll. of Automation Engineering, Beijing Univ. of Aeronautics & Astronautics, Beijing 100083, P. R. China ; Haitong, Chen ; Changsheng, Jiang ; Zongji, Chen

A novel control method for a general class of nonlinear systems using fuzzy logic systems (FLSs) is presertted. Indirect and direct methods are combined to design the adaptive fuzzy output feedback controller and a high-gain observer is used to estimate the derivatives of the system output. The closed-loop system is proven to be semiglobally uniformly ultimately bounded. In addition, it is shown that if the approximation accuracy of the fuzzy logic system is high enough and the observer gain is chosen sufficiently large, an arbitrarily small tracking error can be achieved. Simulation results verify the effectiveness of the newly designed scheme and the theoretical discussion.

Published in:

Systems Engineering and Electronics, Journal of  (Volume:18 ,  Issue: 1 )