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

被引：1

作者：

Zhao, Tong ^{[1
,2
]}

Lu, Guo-ping ^{[3
]}

Hao, Yun-li ^{[4
]}

Li, Yi-min ^{[4
]}

机构：

[1] E China Normal Univ, Dept Math, Shanghai 200241, Peoples R China

[2] Nantong Shipping Coll, Dept Math, Nantong 226010, Jiangsu, Peoples R China

[3] Jiangsu Coll Informat Technol, Dept Math, Wuxi 214400, Jiangsu, Peoples R China

[4] Jiangsu Univ, Fac Sci, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

JOURNAL OF APPLIED MATHEMATICS | 2012年

基金：

美国国家科学基金会;

关键词：

NONAFFINE NONLINEAR-SYSTEMS; OUTPUT-FEEDBACK CONTROL; UNIVERSAL APPROXIMATORS; INTERCONNECTED SYSTEMS; DESIGN; ALGORITHM; TRACKING; HEART; MODEL;

D O I：

10.1155/2012/158720

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

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.

引用

页数：15

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