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

页码：D136 / D141

页数：6

共 6 条

[1]

CHENG GL, 1996, GENETIC ALGORITHM IT

[2] GENETIC-BASED NEW FUZZY-REASONING MODELS WITH APPLICATION TO FUZZY CONTROL [J].

PARK, D ;

KANDEL, A ;

LANGHOLZ, G .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1994, 24 (01) :39-47

[3]

Rudin Walter, 1976, Principles of mathematical analysis, V3

[4] FUZZY IDENTIFICATION OF SYSTEMS AND ITS APPLICATIONS TO MODELING AND CONTROL [J].

TAKAGI, T ;

SUGENO, M .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1985, 15 (01) :116-132

[5] Fuzzy modelling by genetic algorithm with tree-structured individuals [J].

Tanaka, M ;

Ye, J ;

Tanino, E .

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 1996, 27 (02) :261-268

[6]

WANG ST, 1998, FUZZY SYSTEM FUZZY N

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