Evolutionary computing for optimizing type-2 fuzzy systems in intelligent control of non-linear dynamic plants

被引：34

作者：

Castillo, O ^{[1
]}

Huesca, G ^{[1
]}

Valdez, F ^{[1
]}

机构：

[1] Tijuana Inst Technol, Dept Comp Sci, Tijuana, Mexico

来源：

NAFIPS 2005 - 2005 ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY | 2005年

关键词：

D O I：

10.1109/NAFIPS.2005.1548542

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We describe in this paper the use of evolutionary computing techniques for optimizing the design of intelligent controllers. Genetic algorithms can be used to optimize the topology of a fuzzy system for control. We are considering type-2 fuzzy logic for intelligent control and as a consequence the task of designing the fuzzy system is more difficult. We use Hierarchical Genetic Algorithms because the problem of fuzzy system optimization requires a hierarchical chromosome for representing the information about membership functions and parameters.

引用

页码：247 / 251

页数：5

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