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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 ne...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae29d4df39f2410793f18602cafd8d87

System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed neural networks with impulses and leakage term

About this item

Full title

System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed neural networks with impulses and leakage term

Publisher

AIMS Press

Journal title

AIMS Mathematics, 2023-01, Vol.8 (7), p.15166-15188

Language

English

Formats

Publication information

Publisher

AIMS Press

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

System decomposition method-based global stability criteria for T-S fuzzy Clifford-valued delayed neural networks with impulses and leakage term

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_ae29d4df39f2410793f18602cafd8d87

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_ae29d4df39f2410793f18602cafd8d87

Other Identifiers

ISSN

2473-6988

E-ISSN

2473-6988

DOI

10.3934/math.2023774

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