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

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

EnglishPaperback / softbackPrint on demand
Ponce-Cruz Pedro
Springer, Berlin
EAN: 9783319799902
Print on demand
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Detailed 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.

EAN 9783319799902
ISBN 3319799908
Binding Paperback / softback
Publisher Springer, Berlin
Publication date March 30, 2018
Pages 233
Language English
Dimensions 235 x 155
Country Switzerland
Readership Professional & Scholarly
Authors MacCleery Brian; Molina Arturo; Ponce-Cruz Pedro
Illustrations XVI, 233 p. 203 illus., 52 illus. in color.
Edition Softcover reprint of the original 1st ed. 2016
Series Studies in Fuzziness and Soft Computing