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: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
  name:
    name part: Ponce-Cruz, Pedro.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Molina, Arturo.
    role:
      role term: author.
  name:
    name part: MacCleery, Brian.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2016
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVI, 233 p. 203 illus., 52 illus. in color. online resource.
  abstract: This book is a comprehensive introduction to LabVIEW FPGA™, a package allowing the programming of intelligent digital controllers in field programmable gate arrays (FPGAs) using graphical code. It shows how both potential difficulties with understanding and programming in VHDL and the consequent difficulty and slowness of implementation can be sidestepped. The text includes a clear theoretical explanation of fuzzy logic (type 1 and type 2) with case studies that implement the theory and systematically demonstrate the implementation process. It goes on to describe basic and advanced levels of programming LabVIEW FPGA and show how implementation of fuzzy-logic control in FPGAs improves system responses. A complete toolkit for implementing fuzzy controllers in LabVIEW FPGA has been developed with the book so that readers can generate new fuzzy controllers and deploy them immediately. Problems and their solutions allow readers to practice the techniques and to absorb the theoretical ideas as they arise. Fuzzy Logic Type 1 and Type 2 Based on LabVIEW FPGA™, helps students studying embedded control systems to design and program those controllers more efficiently and to understand the benefits of using fuzzy logic in doing so. Researchers working with FPGAs find the text useful as an introduction to LabVIEW and as a tool helping them design embedded systems.
  table of contents: Literature Review for Digital Implementations of Fuzzy Logic Type 1 and Type 2 -- LABVIEW™ FPGA -- Real-Time Fuzzy-Logic Controllers -- Fuzzy Logic Type 1 and Type 2 LABVIEW™ FPGA Toolkit.
  note: by Pedro Ponce-Cruz, Arturo Molina, Brian MacCleery.
  subject:
    topic: Engineering
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Electronic circuits
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Circuits and Systems
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Fuzziness and Soft Computing, 334
  identifier: 9783319266565
  identifier: http://dx.doi.org/10.1007/978-3-319-26656-5
  record info:
    record creation date: 151221
    record change date: 20170518054032.0
    record identifier: 978-3-319-26656-5