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An indirect adaptive fuzzy approach for uncertain nonlinear SISO systems with disturbances

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2 Author(s)
Ping Li ; College of Information Science and Engineering, Northeastern University, Shenyang 110004, China ; Guang-Hong Yang

In this paper, an indirect adaptive fuzzy approach is proposed to achieve robust tracking for a class of uncertain nonlinear single input single output (SISO) systems with external disturbances. Adaptive fuzzy control, adaptive fuzzy identification and attenuation technique are incorporated together for the control objective. Based on the existing robust adaptive fuzzy control scheme, adaptive laws are modified by system modeling error to adjust the estimation parameters converge to their optimal values, which in turn improves the control to guarantee the convergence of output tracking error and modeling error. The effect of both optimal matching error and external disturbance on the controlled system can be attenuated. Desired performance is obtained under a low attenuation level, so the control effort can be enormously saved. Some simulation results are given to illustrate the effectiveness of the proposed approach.

Published in:

Decision and Control, 2007 46th IEEE Conference on

Date of Conference:

12-14 Dec. 2007