New sufficient conditions for global stability of neutral-type neural networks with time delays

Authors:
Zeynep Orman
Affiliations:
Department of Computer Engineering, Faculty of Engineering, Istanbul University, 34320 Avcilar, Istanbul, Turkey
Venue:
Neurocomputing
Year:
2012

Citing 15
Cited 1

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Globally Asymptotic Stability of a Class of Neutral-Type Neural Networks With Delays

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Global Exponential Stability for Uncertain Delayed Neural Networks of Neutral Type With Mixed Time Delays

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A delay partitioning approach to delay-dependent stability analysis for neutral type neural networks with discrete and distributed delays

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Abstract

This paper studies the equilibrium and stability properties of the class of neutral-type neural network model with discrete time delays. By employing a Lyapunov functional and examining the time derivative of the Lyapunov functional, we obtain some delay independent sufficient conditions for the existence, uniqueness and global asymptotic stability of the equilibrium point for this class of neutral-type systems. The obtained conditions can be easily verified as they can be expressed in terms of the network parameters only. We also compare our results with the previous corresponding results derived in the literature by giving some numerical examples.