Optimization of the Type-1 and Type-2 Fuzzy Controller design for the Water Tank using the Bee Colony Optimization

被引：0

作者：

Amador-Angulo, Leticia ^{[1
]}

Castillo, Oscar ^{[1
]}

机构：

[1] Tijuana Inst Technol, Div Grad Studies, Tijuana, Mexico

来源：

2014 IEEE CONFERENCE ON NORBERT WIENER IN THE 21ST CENTURY (21CW) | 2014年

关键词：

Algorithm Bio-inspired; Fuzzy Logic; Uncertainty; Fuzzy Controller; Linguistic Variables; Type-2 Fuzzy Logic; Bees; SYSTEMS;

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：

A new approach for the Bee Colony Optimization algorithm (BCO) for Type-1 and Type-2 Fuzzy Controller design is presented in this paper. The Bee Colony Optimization meta-heuristic belongs to the class of Nature-Inspired Algorithms. The main objective of the work is based on the main reasons for the optimization of Type-1 and Type-2 Fuzzy Controllers, specifically in tuning membership functions of the fuzzy controller for the benchmark problem known as the water tank. For the design of Type-1 and Type-2 Fuzzy Controllers in particular applications, the use of bio-inspired optimization methods have helped in the complex task of finding the appropriate values of the parameters and the structure of the fuzzy systems.

引用

页数：8

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