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

Description: Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm by Oscar Castillo, Leticia Amador 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. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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. Back Cover 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. 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. Feature Focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm Serves as reference for scientists and engineers interested in applying fuzzy logic techniques for solving problems in intelligent control Presents recent research Details ISBN331954294X Author Leticia Amador Year 2017 ISBN-10 331954294X ISBN-13 9783319542942 Format Paperback Pages 71 Publication Date 2017-05-05 Language English Media Book Edition 1st Imprint Springer International Publishing AG Place of Publication Cham Country of Publication Switzerland Illustrations 31 Illustrations, color; 9 Illustrations, black and white; VIII, 71 p. 40 illus., 31 illus. in color. UK Release Date 2017-05-05 Publisher Springer International Publishing AG Edition Description 1st ed. 2017 DEWEY 629.8 Audience Professional & Vocational Series SpringerBriefs in Computational Intelligence We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:131027824;

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