An efficient computational method to implement type-2 fuzzy logic in control applications

被引：59

作者：

Sepulveda, Roberto ^{[1
]}

Castillo, Oscar ^{[2
]}

Melin, Patricia ^{[2
]}

Montiel, Oscar ^{[1
]}

机构：

[1] IPN, CITEDI, Av Parque 1310, Tijuana, BC, Mexico

[2] Tijuana Inst Technol, Div Grad Studies, Chula Vista, CA 91909 USA

来源：

ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES | 2007年 / 41卷

关键词：

D O I：

10.1007/978-3-540-72432-2_6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A novel structure of type 2 fuzzy logic controller is presented. The method is highly efficient regarding computational time and implementation effort. Type-2 input membership functions were optimized using the Human Evolutionary Model (HEM) considering as the objective function the Integral of Squared Error at the controllers output. Statistical tests were achieved considering how the error at the controller's output is diminished in presence of uncertainty, demonstrating that the proposed method outperforms an optimized traditional type-2 fuzzy controller for the same test conditions.

引用

页码：45 / +

页数：2

共 19 条

[1]

[Anonymous], 2003, INT J COMPUTATIONAL

[2]

[Anonymous], SOFT COMPUTING CONTR

[3]

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