T-S Fuzzy Neural Network Algorithm Application in Nonlinear Control

被引：0
|
作者：
Sang, Ying-jun [1 ]
Xu, Cai-qian [1 ]
Liu, Bin [1 ]
Kong, Qing-xia [1 ]
Huang, Fei [1 ]
Mao, Gang-yuan [1 ]
机构：
[1] Huaiyin Inst Technol, Fac Elect & Elect Engn, Huaian, Peoples R China
来源：
PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 2: INFORMATION SYSTEMS AND COMPUTER ENGINEERING | 2011年 / 111卷
关键词：
TS Fuzzy Neural Network; Fuzzy Control; nonlinear; stabilization; robustness;
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：
This paper discussed the structure and algorithm of T-S fuzzy neural network controller which has the character of fuzzy logic and neural network theory, for the nonlinear system characteristics of uncertainty, high order and hysteresis, this paper used the fuzzy neural network technology to control nonlinear system and improved the control quality obvious, take the single inverted pendulum for example. the paper constructed the nonlinear mathematic model, realized the control with the method of the T-S fuzzy neural network, and compared with fuzzy control, the simulation results indicate that the method of T-S fuzzy neural network can realize the stabilization control better without the linear model of system, and has a higher robustness.
引用
收藏
页码：165 / 172
页数：8
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