System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed ne...
System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed neural networks with impulses and leakage term
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AIMS Press
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English
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AIMS Press
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This paper investigates the global asymptotic stability problem for a class of Takagi-Sugeno fuzzy Clifford-valued delayed neural networks with impulsive effects and leakage delays using the system decomposition method. By applying Takagi-Sugeno fuzzy theory, we first consider a general form of Takagi-Sugeno fuzzy Clifford-valued delayed neural net...
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System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed neural networks with impulses and leakage term
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TN_cdi_doaj_primary_oai_doaj_org_article_ae29d4df39f2410793f18602cafd8d87
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae29d4df39f2410793f18602cafd8d87
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2473-6988
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2473-6988
DOI
10.3934/math.2023774