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



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Springer


Paru le : 2017-04-27



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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.
Pages
71 pages
Collection
n.c
Parution
2017-04-27
Marque
Springer
EAN papier
9783319542942
EAN PDF
9783319542959

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
2888 Ko
Prix
52,74 €
EAN EPUB
9783319542959

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
7
Taille du fichier
1802 Ko
Prix
52,74 €

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