The Hybrid Adaptive Control of T‐S Fuzzy System Based on Niche

Tong Zhao, Guo-ping Lu, Yun-li Hao and Yi-min Li

Journal of Applied Mathematics, 2012, vol. 2012, issue 1

Abstract: Based on the niche characteristics, a hybrid adaptive fuzzy control method with the function of continuous supervisory control is proposed in this paper. Considering the close degree of Niche as the consequent of adaptive T‐S fuzzy control system, the hybrid control law is designed by tracking, continuous supervisory, and adaptive compensation. Adaptive compensator is used in the controller to compensate the approximation error of fuzzy logic system and the effect of the external disturbance. The adaptive law of consequent parameters, which is achieved in this paper, embodies system adaptability as biological individual. It is proved that all signals in the closed‐loop system are bounded and tracking error converges to zero by Lyapunov stability theory. The effectiveness of the approach is demonstrated by the simulation results.

Date: 2012
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https://doi.org/10.1155/2012/158720

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2012:y:2012:i:1:n:158720

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