Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
tarafından
Amador, Leticia. author.
Başlık
:
Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
Yazar
:
Amador, Leticia. author.
ISBN
:
9783319542959
Yazar Ek Girişi
:
Amador, Leticia. author.
Fiziksel Tanımlama
:
VIII, 71 p. 40 illus., 31 illus. in color. online resource.
Seri
:
SpringerBriefs in Applied Sciences and Technology,
İçerik
:
Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions.
Özet
:
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.
Konu Başlığı
:
Engineering.
Artificial intelligence.
Algorithms.
Calculus of variations.
Computational intelligence.
Control engineering.
Robotics.
Mechatronics.
Artificial Intelligence (incl. Robotics).
Calculus of Variations and Optimal Control; Optimization.
Control, Robotics, Mechatronics.
Added Author
:
Castillo, Oscar.
Tüzel Kişi Ek Girişi
:
SpringerLink (Online service)
Elektronik Erişim
:
Yer Numarası | Demirbaş Numarası | Shelf Location | Shelf Location | Holding Information |
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Q342 | 481170-1001 | SPRINGER | SPRINGER | |