Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Published on 27. April 2017
VIII, 71 pages
978-3-319-54295-9 (ISBN)
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.
More details
Series
Edition
1st ed. 2017
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 71 p. 40 illus., 31 illus. in color.
File size
2,96 MB
ISBN-13
978-3-319-54295-9 (9783319542959)
DOI
10.1007/978-3-319-54295-9
Schweitzer Classification
Other editions
Additional editions
Leticia Amador | Oscar Castillo
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Book
05/2017
Springer
€53.49
Shipment within 10-15 days
Content
Introduction.- Theory and Background.- Problems Statement.- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods.- Statistical Analysis and Comparison of Results.- Conclusions.
