Global robust stability of fuzzy cellular neural networks with parameter uncertainties

The global robust stability of uncertain delayed fuzzy cellular neural networks (UDFCNNs) was analyzed in this paper. The major results of this paper provided some new criteria for the existence and uniqueness of the equilibrium point of UDFCNN. Furthermore, suitable Lyapunov-Krasovskii functionals...

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Bibliographic Details
Published inAIMS mathematics Vol. 9; no. 4; pp. 8063 - 8078
Main Authors Zhang, Tiecheng, He, Wei
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2024
Subjects
fuzzy cellular neural network
global asymptotic robust stability
global exponential robust stability
parameter uncertainties
time delay
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ISSN2473-6988
2473-6988
DOI10.3934/math.2024392

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Summary:The global robust stability of uncertain delayed fuzzy cellular neural networks (UDFCNNs) was analyzed in this paper. The major results of this paper provided some new criteria for the existence and uniqueness of the equilibrium point of UDFCNN. Furthermore, suitable Lyapunov-Krasovskii functionals was designed for obtaining the adequate conditions for the global asymptotic robust stability and global exponential robust stability of UDFCNN. Finally, several numerical examples was provided to verify the validity of the results.
ISSN:2473-6988
2473-6988
DOI:10.3934/math.2024392