Globally Robust Stability Analysis for Stochastic Cohen–Grossberg Neural Networks with Impulse Control and Time-Varying Delays

By constructing suitable Lyapunov functionals, in combination with the matrix-inequality technique, we establish a new simple sufficient linear matrix-inequality condition for the global robustly asymptotic stability of the stochastic Cohen–Grossberg neural networks with impulsive control and time-varying delays. This condition contains and improves some previous results from the earlier references.

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