A new approach to exponential stability analysis of neural networks with time-varying delays

@article{Xu2006ANA,
  title={A new approach to exponential stability analysis of neural networks with time-varying delays},
  author={Shengyuan Xu and James Lam},
  journal={Neural networks : the official journal of the International Neural Network Society},
  year={2006},
  volume={19 1},
  pages={76-83}
}
This paper considers the problem of exponential stability analysis of neural networks with time-varying delays. The activation functions are assumed to be globally Lipschitz continuous. A linear matrix inequality (LMI) approach is developed to derive sufficient conditions ensuring the delayed neural network to have a unique equilibrium point, which is globally exponentially stable. The proposed LMI conditions can be checked easily by recently developed algorithms solving LMIs. Examples are… CONTINUE READING

Citations

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