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Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm / by Leticia Amador, Oscar Castillo

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Applied Sciences and Technology | SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Cham : Springer, 2017Description: Online-Ressource (VIII, 71 p. 40 illus., 31 illus. in color, online resource)ISBN:
  • 9783319542959
Subject(s): Additional physical formats: 9783319542942 | Druckausg.: 978-3-319-54294-2 | Printed edition: 9783319542942 MSC: MSC: *93-02 | 93C42 | 90C59 | 90C70LOC classification:
  • Q342
DOI: DOI: 10.1007/978-3-319-54295-9Online resources: Summary: 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 problemsSummary: Introduction -- Theory and Background -- Problems Statement -- Bee Colony Optimization Algorithm.-Simulation results for the Proposed Methods -- Statistical Analysis and Comparison of Results -- ConclusionsPPN: PPN: 1658329767Package identifier: Produktsigel: ZDB-2-ENG
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