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Abstract This paper is corned with the pth moment exponential input-to-state stability for non-autonomous delayed Cohen–Grossberg neural networks with Markovian switching. By the generalized Ito’s formula and some analysis technique… Click to show full abstract
Abstract This paper is corned with the pth moment exponential input-to-state stability for non-autonomous delayed Cohen–Grossberg neural networks with Markovian switching. By the generalized Ito’s formula and some analysis technique on time-varying coefficients, a vector non-autonomous Halanay inequality is established. With the aid of the novel Halanay inequality, sufficient criteria on pth moment exponential input-to-state stability for non-autonomous delayed Cohen–Grossberg neural networks with Markovian switching is derived. A numerical example is provided to demonstrate feasibility and validity.
Journal Title: Neurocomputing
Year Published: 2019
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