Abstract
The problem of adaptive fuzzy control for a class of nonlinear systems is studied in this paper. Based on the principle of variable structure control and the approximation capability of the second-type fuzzy systems, a design scheme of an adaptive fuzzy controller is proposed. The control architecture employs fuzzy systems in which the unknown parameters are adjusted on-line to adaptively compensate for plant uncertainties. By using the Lyapunov method, the closed-loop fuzzy control system is proved to be globally stable, with tracking errors converging to a neighborhood of zero. The simulation results are given to demonstrate the effectiveness of the approach.
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Zhang, TP., Feng, CB. (1999). Stable Adaptive Fuzzy Variable Structure Control for a Class of Nonlinear Systems. In: Chen, G., Ying, M., Cai, KY. (eds) Fuzzy Logic and Soft Computing. The International Series on Asian Studies in Computer and Information Science, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5261-1_15
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DOI: https://doi.org/10.1007/978-1-4615-5261-1_15
Publisher Name: Springer, Boston, MA
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