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 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.

List of contents

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

Product details

• Authors: Letici Amador, Leticia Amador, Oscar Castillo
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 31.05.2017
• EAN: 9783319542942
• ISBN: 978-3-31-954294-2
• No. of pages: 71
• Dimensions: 154 mm x 234 mm x 4 mm
• Weight: 140 g
• Illustrations: VIII, 71 p. 40 illus., 31 illus. in color.
• Series: SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence; SpringerBriefs in Applied Sciences and Technology; SpringerBriefs in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Algorithms, Optimization, Robotics, Artificial Intelligence, engineering, Electronic devices & materials, Numerical analysis, Computational Intelligence, Calculus of Variations and Optimization, Calculus of variations, Calculus of Variations and Optimal Control; Optimization, Control, Robotics, Mechatronics, Control, Robotics, Automation, Control engineering, Mechatronics, Automatic control engineering