Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
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.
1133116105
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
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.
89.99 In Stock
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm

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

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

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

eBook1st ed. 2017 (1st ed. 2017)

$89.99 

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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.

Product Details

ISBN-13: 9783319542959
Publisher: Springer-Verlag New York, LLC
Publication date: 04/27/2017
Series: SpringerBriefs in Applied Sciences and Technology
Sold by: Barnes & Noble
Format: eBook
Pages: 71
File size: 2 MB
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