Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects

YANG Zhi-chun; XU Dao-yi

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YANG Zhi-chun, XU Dao-yi. Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects[J]. Applied Mathematics and Mechanics, 2006, 27(11): 1329-1334.

Citation:

YANG Zhi-chun, XU Dao-yi. Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects[J]. Applied Mathematics and Mechanics, 2006, 27(11): 1329-1334.

Citation:

YANG Zhi-chun, XU Dao-yi. Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects[J]. Applied Mathematics and Mechanics, 2006, 27(11): 1329-1334.

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Global Exponential Stability of Hopfield Neural Networks With Variable Delays and Impulsive Effects

YANG Zhi-chun^1,2,
XU Dao-yi²

1.
Mathematics College, Chongqing Normal University, Chongqing 400047, P. R. China;

Received Date: 2004-10-30
Rev Recd Date: 2006-07-26
Publish Date: 2006-11-15

Abstract

Abstract

A class of Hopfield neural network with time-varying delays and impulsive effects is concerned.Some sufficient conditions ensuring the global exponential stability of impulsive delay neural networks by applying the piecewise continuous vector Lyapunov function were obtained.An example and its simulation are given to illustrate the effectiveness of the results.
- neural network,
- impulse,
- varying delay,
- stability

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References(16)

References

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