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 propo...

Full description

Saved in:
Bibliographic Details
Main Authors: Amador, Leticia, (Author), Castillo, Oscar, (Author)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: SpringerBriefs in applied sciences and technology. Computational intelligence.
Subjects:
Fuzzy logic.
Intelligent control systems.
elektronické knihy
electronic books
ISBN: 9783319542959
9783319542942
Physical Description: 1 online resource

Cover

Table of contents

LEADER 04287cam a2200457Ii 4500
001 100052
003 CZ-ZlUTB
005 20240914112503.0
006 m o d
007 cr cnu|||unuuu
008 170502s2017 sz ob 001 0 eng d
040 |a N$T  |b eng  |e rda  |e pn  |c N$T  |d GW5XE  |d EBLCP  |d YDX  |d N$T  |d UAB  |d ESU  |d AZU  |d UPM  |d OCLCF  |d STF  |d IDB  |d VT2  |d OTZ  |d OCLCQ  |d IOG  |d U3W  |d MERUC  |d CAUOI  |d KSU  |d EZ9  |d AU@  |d WYU  |d OCLCQ  |d UKMGB  |d UKAHL  |d OCLCQ  |d ERF  |d UKBTH  |d OCLCQ 
020 |a 9783319542959  |q (electronic bk.) 
020 |z 9783319542942  |q (print) 
024 7 |a 10.1007/978-3-319-54295-9  |2 doi 
035 |a (OCoLC)985105102  |z (OCoLC)985657803  |z (OCoLC)985949236  |z (OCoLC)986182837  |z (OCoLC)986478197  |z (OCoLC)986643994  |z (OCoLC)986834074  |z (OCoLC)988387383  |z (OCoLC)999454721  |z (OCoLC)1005774172  |z (OCoLC)1011787603  |z (OCoLC)1048173590  |z (OCoLC)1058957324  |z (OCoLC)1066633565  |z (OCoLC)1086523343  |z (OCoLC)1112594265  |z (OCoLC)1112877915  |z (OCoLC)1112942570  |z (OCoLC)1127161861 
100 1 |a Amador, Leticia,  |e author. 
245 1 0 |a Optimization of type-2 fuzzy controllers using the bee colony algorithm /  |c Leticia Amador, Oscar Castillo. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in applied sciences and technology, Computational intelligence,  |x 2191-530X 
504 |a Includes bibliographical references and index. 
505 0 |a Preface; Contents; 1 Introduction; References; 2 Theory and Background; 2.1 Fuzzy Inference System; 2.1.1 Type-1 Fuzzy Logic Systems; 2.1.2 Interval Type-2 Fuzzy Logic Systems; 2.2 Fuzzy Controllers; References; 3 Problem Statements; 3.1 Water Tank Controller; 3.1.1 Model Equations of the Water Tank; 3.1.2 Design of the Fuzzy Controller; 3.2 Autonomous Mobile Robot Controller; 3.2.1 General Description of Problem; 3.2.2 Fuzzy Logic Control Design; References; 4 Bee Colony Optimization Algorithm; 4.1 Proposed Method; References; 5 Simulation Results for the Proposed Methods. 
505 8 |a 5.1 Simulation Results for the Water Tank Controller5.1.1 Results for the Original Bee Colony Optimization Algorithm; 5.1.2 Results for the Fuzzy Bee Colony Optimization Algorithm for the Water Tank Controller; 5.2 Results for the Original BCO for an Autonomous Mobile Robot; 5.2.1 Results for the Fuzzy BCO for an Autonomous Mobile Robot; 6 Statistical Analysis and Comparison of Results; 7 Conclusions; Appendix; Bibliograpy; Index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Fuzzy logic. 
650 0 |a Intelligent control systems. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Castillo, Oscar,  |e author. 
776 0 8 |i Print version:  |a Amador, Leticia.  |t Optimization of type-2 fuzzy controllers using the bee colony algorithm.  |d Cham, Switzerland : Springer, 2017  |z 9783319542942  |z 331954294X  |w (OCoLC)970684236 
830 0 |a SpringerBriefs in applied sciences and technology.  |p Computational intelligence. 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-3-319-54295-9  |y Plný text 
992 |c NTK-SpringerENG 
999 |c 100052  |d 100052 
993 |x NEPOSILAT  |y EIZ 

Similar Items