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Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays

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  • Wei Feng
  • Simon X. Yang
  • Haixia Wu

Abstract

The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties. The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only. Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results. Two numerical examples are illustrated to verify our results.

Suggested Citation

  • Wei Feng & Simon X. Yang & Haixia Wu, 2014. "Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-12, May.
    • Handle: RePEc:hin:jnlaaa:560861
    DOI: 10.1155/2014/560861
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