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Existence and exponential stability of equilibrium point for fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales - MaRDI portal

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Existence and exponential stability of equilibrium point for fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales (Q1714721)

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scientific article; zbMATH DE number 7010723
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English
Existence and exponential stability of equilibrium point for fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales
scientific article; zbMATH DE number 7010723

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    Existence and exponential stability of equilibrium point for fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales (English)
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    1 February 2019
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    Summary: By using the fixed point theorem and constructing a Lyapunov functional, we establish some sufficient conditions on the existence, uniqueness, and exponential stability of equilibrium point for a class of fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales. We also present a numerical example to show the feasibility of obtained results. Our example also shows that the described time and continuous neural time networks have the same dynamic behaviours for the stability.
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