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Exponential stability of hysteresis neural networks with varying inputs | IEEE Conference Publication | IEEE Xplore

Exponential stability of hysteresis neural networks with varying inputs


Abstract:

In this paper mathematical analysis of hysteresis neural network with varying inputs are proposed. Motivated by the application potential of the model we focus on existen...Show More

Abstract:

In this paper mathematical analysis of hysteresis neural network with varying inputs are proposed. Motivated by the application potential of the model we focus on existence, exponential stability and asymptotic equivalence of the networks. We establish sufficient conditions for exponential stability of this class of neural networks and this result can be applied through numerical example. The result improves the earlier publications due to the state convergence of the networks with neutral delays and varying inputs.
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
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Conference Location: Kochi, India

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