rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Optimization of Type-2 Fuzzy Controllers Using the Bee Colony Algorithm
  name:
    name part: Amador, Leticia.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Castillo, Oscar.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 71 p. 40 illus., 31 illus. in color. online resource.
  abstract: 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.
  table 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.
  note: by Leticia Amador, Oscar Castillo.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Algorithms
  subject:
    topic: Calculus of variations
  subject:
    topic: Computational intelligence
  subject:
    topic: Control engineering
  subject:
    topic: Robotics
  subject:
    topic: Mechatronics
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Calculus of Variations and Optimal Control; Optimization
  subject:
    topic: Control, Robotics, Mechatronics
  subject:
    topic: Algorithms
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Applied Sciences and Technology
  identifier: 9783319542959
  identifier: http://dx.doi.org/10.1007/978-3-319-54295-9
  record info:
    record creation date: 170429
    record change date: 20170429055205.0
    record identifier: 978-3-319-54295-9