Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 1 Allowable upper bound of τ and the convergence rate for Theorem 3.1 in Case (1) and Case (2)

From: Delay-dependent exponential stability for Markovian jumping stochastic Cohen-Grossberg neural networks with p-Laplace diffusion and partially known transition rates via a differential inequality

	Case (1)	Case (2)
Time delays τ	7.75	7.75
Convergence rate	0.0169	0.0165

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