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.
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页数：8
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