Optimization of Type-2 Fuzzy Controllers
β Leticia Amador, Oscar Castillo
π Library
π
2017
π Springer
π English
β¦ LIBER β¦
π
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
β Scribed by Leticia Amador, Oscar Castillo (auth.)
- Publisher
- Springer International Publishing
- Year
- 2017
- Tongue
- English
- Leaves
- 77
- Series
- SpringerBriefs in Applied Sciences and Technology
- Edition
- 1
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
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.
β¦ Table of Contents
Front Matter....Pages i-viii
Introduction....Pages 1-6
Theory and Background....Pages 7-11
Problem Statements....Pages 13-21
Bee Colony Optimization Algorithm....Pages 23-32
Simulation Results for the Proposed Methods....Pages 33-54
Statistical Analysis and Comparison of Results....Pages 55-56
Conclusions....Pages 57-58
Back Matter....Pages 59-71
β¦ Subjects
Computational Intelligence;Artificial Intelligence (incl. Robotics);Calculus of Variations and Optimal Control; Optimization;Control, Robotics, Mechatronics;Algorithms
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