期刊論文

學年 96
學期 1
出版(發表)日期 2008-01-01
作品名稱 Design and implementation of GA-based fuzzy system on FPGA chip
作品名稱(其他語言)
著者 翁慶昌; Wong, Ching-chang; Lin, Yu-han
單位 淡江大學電機工程學系
出版者 Taylor & Francis
著錄名稱、卷期、頁數 Cybernetics and Systems 39(1), pp.79-107
摘要 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.
關鍵字
語言 en
ISSN 0196-9722
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度
國別 USA
公開徵稿
出版型式
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