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A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks

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Abstract

In this paper, by using Lyapunov stability theorems, we present a new sufficient condition for the existence, uniqueness and global robust asymptotic stability of the equilibrium point for delayed neural networks. This condition basically establishes a relationship between the network parameters of the neural system. The obtained condition can be easily verified as it is in terms of the network parameters only. Some illustrative numerical examples are also given to compare our result with the previous robust stability results derived in the literature.

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Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Istanbul University, 34320, Avcilar, Turkey

    Neyir Ozcan

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  1. Neyir Ozcan
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Correspondence to Neyir Ozcan.

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Ozcan, N. A New Sufficient Condition for Global Robust Stability of Delayed Neural Networks. Neural Process Lett 34, 305–316 (2011). https://doi.org/10.1007/s11063-011-9194-9

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  • DOI: https://doi.org/10.1007/s11063-011-9194-9

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