Design and implementation of GA-based fuzzy system on FPGA chip

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Title:	Design and implementation of GA-based fuzzy system on FPGA chip
Authors:	翁慶昌;Wong, Ching-chang;Lin, Yu-han
Contributors:	淡江大學電機工程學系
Date:	2008-01
Issue Date:	2010-08-09 19:55:17 (UTC+8)
Publisher:	Taylor & Francis
Abstract:	In this article, a design and implementation methodology of a GA-based fuzzy system on a Field Programmable Gate Array (FPGA) chip is proposed. First, a self-generating method based on a genetic algorithm (GA) is proposed to automatically construct a high performance fuzzy system. Some simulation results of an inverted pendulum control system are presented to illustrate the efficiency of the proposed GA-based method in the fuzzy system design. Then, a fuzzy system design method by using VHSIC Hardware Description Language (VHDL) is proposed so that the fuzzy system hardware implemented on an FPGA chip has a great flexibility and a high process speed. Moreover, a friendly-used software tool is developed to automatically generate VHDL codes for the users to easily design their fuzzy system hardware based on the proposed methodology. Finally, some experimental results are presented to illustrate the validity and the applicability of the design methodology.
Relation:	Cybernetics and Systems 39(1), pp.79-107
DOI:	10.1080/01969720701710220
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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