Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Author:   Leticia Amador ,  Oscar Castillo
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2017
ISBN:  

9783319542942


Pages:   71
Publication Date:   05 May 2017
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm


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Overview

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.

Full Product Details

Author:   Leticia Amador ,  Oscar Castillo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 0.40cm , Length: 23.50cm
Weight:   1.358kg
ISBN:  

9783319542942


ISBN 10:   331954294
Pages:   71
Publication Date:   05 May 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Theory and Background.- Problems Statement.- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods.- Statistical Analysis and Comparison of Results.- Conclusions.

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