Can neural networks with arbitrary delays be finite-timely synchronized?

@article{Yang2014CanNN,
  title={Can neural networks with arbitrary delays be finite-timely synchronized?},
  author={Xinsong Yang},
  journal={Neurocomputing},
  year={2014},
  volume={143},
  pages={275-281}
}
Finite-time synchronization means the optimality in convergence time, thus many contributions have been made to it in the literature. However, to the best of our knowledge, most of the existing results on finite-time synchronization do not include time-delay. Considering the fact that time-delays especially infinite-time distributed delays are inevitably existing in neural networks, this paper aims to study global synchronization in finite time of neural networks with both time-varying discrete… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 17 CITATIONS

Robust Finite-Time Stabilization of Fractional-Order Neural Networks With Discontinuous and Continuous Activation Functions Under Uncertainty

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2018
VIEW 11 EXCERPTS
CITES BACKGROUND & RESULTS
HIGHLY INFLUENCED

Synchronization of Delayed Memristive Neural Networks: Robust Analysis Approach

  • IEEE Transactions on Cybernetics
  • 2016
VIEW 5 EXCERPTS
CITES BACKGROUND & METHODS

Finite-Time Synchronization of Discontinuous Neural Networks With Delays and Mismatched Parameters

  • IEEE Transactions on Neural Networks and Learning Systems
  • 2018
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS

References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES