TY  - BOOK
AU  - Amador,Leticia
AU  - Castillo,Oscar
ED  - SpringerLink (Online service)
TI  - Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
T2  - SpringerBriefs in Computational Intelligence,
SN  - 9783319542959
AV  - Q342 
U1  - 006.3 23
PY  - 2017///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Computational intelligence
KW  - Artificial intelligence
KW  - Calculus of variations
KW  - Control engineering
KW  - Robotics
KW  - Mechatronics
KW  - Algorithms
KW  - Computational Intelligence
KW  - Artificial Intelligence
KW  - Calculus of Variations and Optimal Control; Optimization
KW  - Control, Robotics, Mechatronics
N1  - Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- Conclusions; Available to subscribing member institutions only. Доступно лише організаціям членам підписки
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-54295-9
ER  -