Global Exponential Stability of Impulsive Static Neural Networks with Time-Varying Delays

Yongchang Zhao, Linshan Wang · 2009

This paper investigates the global exponential stability of static neural networks (SNN) with time-varying delays and fixed moments of impulsive effect. Sufficient conditions for the exponential stability are established by using Lyapunov functions and the Razumikhin technique

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