NitroFlare Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

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    kocogi Active Member

    May 29, 2012
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    Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA
    Springer | Studies in Fuzziness and Soft Computing | January 20, 2016 | ISBN-10: 3319266551 | 233 pages | pdf | 11.77 mb

    Authors: Ponce-Cruz, Pedro, Molina, Arturo, MacCleery, Brian
    Gives the reader an up-to-date introduction to the theory of fuzzy-logic control
    Presents the LabVIEW FPGA™ toolkit that allows readers to design and implement fuzzy-logic controllers quickly and easily
    Outlines problems and solutions, which help readers to assimilate new information

    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.

    Number of Illustrations and Tables
    151 illus., 52 in colour
    Computational Intelligence
    Circuits and Systems
    Artificial Intelligence (incl. Robotics)

    More info and Hardcover at Springer

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