NDLI: Design and implementation of a Mamdani Fuzzy Inference System on an FPGA using VHDL

Content Provider	IEEE Xplore Digital Library
Author	Oliveira, D.N. de Lima Henn, G.A. da Mota Almeida, O.
Copyright Year	2010
Description	Author affiliation: Dept. of Electrical Engineering, Federal University of Ceará, UFC, Fortaleza, Brazil (Oliveira, D.N.; de Lima Henn, G.A.; da Mota Almeida, O.)
Abstract	The growth of fuzzy logic applications led to the need of finding efficient ways to implement them. The FPGAs (Field Programmable Gate Arrays) are reconfigurable logic devices that provide mainly practicality and portability, with low consumption of energy, high speedy of operation and large capacity of data storage. These characteristics, combined with the ability of synthesizing circuits, make FPGAs powerful tools for project development and prototyping of digital controllers. In this paper, the implementation of a Mamdani Fuzzy Inference System has been demonstrated using VHDL programming language. The accuracy of the model on FPGA was compared with simulation results obtained using MATLAB & Fuzzy Logic Tool Box.
Starting Page	1
Ending Page	6
File Size	744382
Page Count	6
File Format	PDF
ISBN	9781424478590
e-ISBN	9781424478583
e-ISBN	9781424478576
DOI	10.1109/NAFIPS.2010.5548190
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-12
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Field programmable gate arrays Fuzzy logic Programmable logic arrays Reconfigurable logic Memory Circuit synthesis Control system synthesis Prototypes Digital control Fuzzy Inference System component FPGA VHDL
Content Type	Text
Resource Type	Article

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