NDLI: CAD Tools for Hardware Implementation of Embedded Fuzzy Systems on FPGAs

Content Provider	IEEE Xplore Digital Library
Author	Brox, M. Sanchez-Solano, S. del Toro, E. Brox, P. Moreno-Velo, F.J.
Copyright Year	2005
Abstract	This paper describes two computer-aided design (CAD) tools for automatic synthesis of fuzzy logic-based inference systems. The tools share a common architecture for efficient hardware implementation of fuzzy modules, but are based on two different design strategies. One of them is focused on the generation of standard VHDL code, which can be later implemented on a reconfigurable device [field-programmable gate array (FPGA)] or as an application-specific integrated circuit (ASIC). The other one uses the Matlab/Simulink environment and tools for development of digital signal processing (DSP) systems on Xilinx's FPGAs. Both tools are included in the last version of Xfuzzy, which is a specific environment for designing complex fuzzy systems, and they provide interfaces to commercial VHDL synthesis and verification tools, as well as to conventional FPGA development environments. As demonstrated by the included design example, the proposed development strategies speed up the stages of description, synthesis, and functional verification of embedded fuzzy inference systems.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	1635
Ending Page	1644
Page Count	10
File Size	1593209
File Format	PDF
ISSN	15513203
Volume Number	9
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Libraries Field programmable gate arrays Hardware Software packages Random access memory Fuzzy logic hardware implementation Computer-aided design (CAD) tools field-programmable gate arrays (FPGAs) fuzzy inference systems
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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