Adaptive T-S Fuzzy Controller Design using Fuzzy Approximators

被引：0

作者：

Han, Hugang ^{[1
]}

Koshiro, Takamitsu ^{[1
]}

机构：

[1] Prefectural Univ Hiroshima, Dept Management Informat Syst, Hiroshima 7348558, Japan

来源：

2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010) | 2010年

关键词：

H-INFINITY CONTROL; NONLINEAR-SYSTEMS; STABILITY ANALYSIS; IDENTIFICATION; OBSERVER; STATE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the reconstruction error between the real system to be controlled and its T-S fuzzy model is considered, and fuzzy approximator is employed to cope with the reconstruction error. As a result, it reaches an adaptive controller that has two parts: one is obtained by solving certain linear matrix inequalities (LMIs) (fixed part) and another one is acquired by the fuzzy approximator in which the related parameters are tuned by adaptive law (variable part). The proposed controller can guarantee the control state to converge and uniformly bounded while maintaining all the signals involved stable. An inverted pendulum is provided to demonstrate the effectiveness of the proposed adaptive fuzzy controller.

引用

页数：7

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