ENGLISH

Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

By Oscar Castillo (auth.) , Leticia Amador

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-54294-2, 978-3-319-54295-9
DOI
10.1007/978-3-319-54295-9
Language
english
Format
PDF
Filesize
3 MB (2927593 bytes)
Series
SpringerBriefs in Applied Sciences and Technology
Edition
1
Pages
VIII, 71\77
Time added
2017-06-25 01:08:56
Computational Intelligence;Artificial IntelligenceMechatronics;AlgorithmsRobotics

Description

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering the fuzzy control area. The main idea is that this areas together can to solve various control problems and to find better results. In this book we test the proposed method using two benchmark problems; the problem for filling a water tank and the problem for controlling the trajectory in an autonomous mobile robot. When Interval Type-2 Fuzzy Logic System is implemented to model the behavior of systems, the results show a better stabilization, because the analysis of uncertainty is better. For this reason we consider in this book the proposed method using fuzzy systems, fuzzy controllers, and bee colony optimization algorithm improve the behavior of the complex control problems.

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