An algorithm of parameter optimization for generalized T-S model based on genetic algorithm

被引：0
|
作者：
Li, HS [1 ]
Mao, JQ [1 ]
Dai, JY [1 ]
机构：
[1] Beijing Univ Aeronaut & Astronaut, Res Div 7, Beijing 100083, Peoples R China
来源：
2001 INTERNATIONAL CONFERENCES ON INFO-TECH AND INFO-NET PROCEEDINGS, CONFERENCE A-G: INFO-TECH & INFO-NET: A KEY TO BETTER LIFE | 2001年
关键词：
fuzzy logical system; genetic algorithm (GA); matrix coding; parameter identification;
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, an algorithm of parameter optimization for generalized Takagi-Sugeno (T-S) model is proposed. The structure of generalized T-S model, which is of lower complexity of model and higher precision, is obtained by using genetic algorithm (GA). For searching the optimal parameters of generalized T-S model, the matrix coding is adopted. The solution of numerical simulation shows that this new method is effective.
引用
收藏
页码：D136 / D141
页数：6
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