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In this paper, we investigate a class of delayed neural networks with impulsive and stochastic effects. By establishing an L- operator delay differential inequality with impulses and using the stochastic analysis technique, some sufficient conditions are derived to ensure the existence and global exponential stability of periodic solution for the addressed neural networks. Those conditions only including...
This paper considers the global robust exponential stability of time-varying delayed neural networks with discontinuous activation functions and norm-bounded uncertainties. Based on the Lyapunov–Krasovskii stability theory, we originally analyze the global robust exponential stability of discontinuous neural networks with time-varying delays in view of the linear matrix inequalities (LMIs). Therefore,...
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