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Global Exponential Stability Results for Delayed Neural Networks with Impulsive Perturbations

Guanghui Sun, Diwang Lin, Chunming Zhang

Abstract


In this paper, by utilizing Lyapunov functional method and the LMI technique, we analyze the global exponential stability of neural networks with time delays and impulsive perturbations. A new sufficient condition which ensures global exponential stability of the unique equilibrium point of delayed neural networks with impulsive perturbations is obtained.

Keywords


Stability, Lyapunov functional method, Neural networks, Impulse, Delay.

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