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

Leticia Amador, Oscar Castillo

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English

Springer International Publishing AG
05 May 2017

Calculus of variations; Numerical analysis; Optimisation; Automatic control engineering; Algorithms & data structures; Artificial intelligence

Series: SpringerBriefs in Computational Intelligence

Summary
Details

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.

By: Leticia Amador, Oscar Castillo
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2017
Dimensions: Height: 235mm, Width: 155mm, Spine: 4mm
Weight: 1.358kg
ISBN: 9783319542942
ISBN 10: 331954294X
Series: SpringerBriefs in Computational Intelligence
Pages: 71
Publication Date: 05 May 2017
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active