Delay-Slope-Dependent Stability Results of Recurrent Neural Networks

@article{Li2011DelaySlopeDependentSR,
  title={Delay-Slope-Dependent Stability Results of Recurrent Neural Networks},
  author={Tao Li and Wei Xing Zheng and Chong Lin},
  journal={IEEE Transactions on Neural Networks},
  year={2011},
  volume={22},
  pages={2138-2143}
}
By using the fact that the neuron activation functions are sector bounded and nondecreasing, this brief presents a new method, named the delay-slope-dependent method, for stability analysis of a class of recurrent neural networks with time-varying delays. This method includes more information on the slope of neuron activation functions and fewer matrix variables in the constructed Lyapunov-Krasovskii functional. Then some improved delay-dependent stability criteria with less computational… CONTINUE READING
41 Citations
29 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 41 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 29 references

New results on stability analysis of neural networks with time-varying delays

  • C. C. Hua, C. N. Long, X. P. Guan
  • Phys. Lett. A, vol. 352, nos. 4–5, pp. 335–340…
  • 2006
Highly Influential
13 Excerpts

LMI-based stability criteria for neural networks with multiple time-varying delays

  • Y. He, Q. G. Wang, M. Wu
  • Phys. D, vol. 212, nos. 1–2, pp. 126–136, Dec…
  • 2005
Highly Influential
11 Excerpts

Similar Papers

Loading similar papers…