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: Ching-Chang Wong1 wong@ee.tku.edu.tw, Yu-Han Lin1
Source: Cybernetics & Systems. Jan2008, Vol. 39 Issue 1, p79-107. 29p. 1 Black and White Photograph, 9 Diagrams, 5 Charts, 7 Graphs.
Subjects: Fuzzy systems, Field programmable gate arrays, Genetic algorithms, VHDL (Computer hardware description language), Fuzzy logic, Gate array circuits
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. [ABSTRACT FROM AUTHOR]
Copyright of Cybernetics & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: DESIGN AND IMPLEMENTATION OF GA-BASED FUZZY SYSTEM ON FPGA CHIP.
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  Data: <searchLink fieldCode="AR" term="%22Ching-Chang+Wong%22">Ching-Chang Wong</searchLink><relatesTo>1</relatesTo><i> wong@ee.tku.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Yu-Han+Lin%22">Yu-Han Lin</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Cybernetics+%26+Systems%22">Cybernetics & Systems</searchLink>. Jan2008, Vol. 39 Issue 1, p79-107. 29p. 1 Black and White Photograph, 9 Diagrams, 5 Charts, 7 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Field+programmable+gate+arrays%22">Field programmable gate arrays</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22VHDL+%28Computer+hardware+description+language%29%22">VHDL (Computer hardware description language)</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+logic%22">Fuzzy logic</searchLink><br /><searchLink fieldCode="DE" term="%22Gate+array+circuits%22">Gate array circuits</searchLink>
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  Label: Abstract
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  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Cybernetics & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/01969720701710220
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      – Code: eng
        Text: English
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        PageCount: 29
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      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Field programmable gate arrays
        Type: general
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: VHDL (Computer hardware description language)
        Type: general
      – SubjectFull: Fuzzy logic
        Type: general
      – SubjectFull: Gate array circuits
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      – TitleFull: DESIGN AND IMPLEMENTATION OF GA-BASED FUZZY SYSTEM ON FPGA CHIP.
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              Text: Jan2008
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              Y: 2008
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