New stability criteria for BAM neural networks with time-varying delays

  title={New stability criteria for BAM neural networks with time-varying delays},
  author={Liang Hu and Hao Liu and Yingbo Zhao},
In this paper, the exponential stability is investigated for a class of time-delay BAM neural networks (NNs). Time delays of two layers are taken into account separately rather than as a whole with the idea of delay fractioning. Then we generalize the result to time-varying interval delay condition. Exploiting the known constant part of delay sufficiently to estimate the upper bounds, we can derive an improved less conservatism and effectiveness of the proposed linear matrix inequality (LMI… CONTINUE READING

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Publications referenced by this paper.
Showing 1-10 of 17 references

New delaydependent stability criteria for neural networks with time - varying delay

D. Rees
Automatica • 2008

LMI - based approach for delaydependent exponential stability analysis of BAM neural networks

J. Cao X. Huang, D. S. Huang
IEEE Transactions on Neural Networks • 2004

Robust stability of interval bidirectional associative memory neural network with time delays

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) • 2004

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