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

Leticia Amador, Oscar Castillo (Autoren)

Buch | Softcover

VIII, 71 Seiten

2017 | 1st ed. 2017
Springer International Publishing (Verlag)
978-3-319-54294-2 (ISBN)

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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.

Introduction.- Theory and Background.- Problems Statement.- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods.- Statistical Analysis and Comparison of Results.- Conclusions.

Erscheinungsdatum	13.05.2017
Reihe/Serie	SpringerBriefs in Applied Sciences and Technology
Reihe/Serie	SpringerBriefs in Computational Intelligence
Zusatzinfo	VIII, 71 p. 40 illus., 31 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	140 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Bee Colony Optimization Algorithm • bio-inspired algorithm • Computational Intelligence • Fuzzy Control • Fuzzy Logic • Type-2 Fuzzy Controllers
ISBN-10	3-319-54294-X / 331954294X
ISBN-13	978-3-319-54294-2 / 9783319542942
Zustand	Neuware