Global exponential stability of delayed cellular neural networks with impulses

@article{Xia2007GlobalES,
  title={Global exponential stability of delayed cellular neural networks with impulses},
  author={Yonghui Xia and J. Cao and S. Cheng},
  journal={Neurocomputing},
  year={2007},
  volume={70},
  pages={2495-2501}
}
  • Yonghui Xia, J. Cao, S. Cheng
  • Published 2007
  • Mathematics, Computer Science
  • Neurocomputing
  • A class of delayed cellular neural networks with impulses (DCNN) is investigated in this paper. Sufficient conditions are obtained for the existence of unique and globally exponential stable equilibriums of the DCNNs with Lipschitzian activation functions without assuming their boundedness, monotonicity or differentiability, but subjected to impulsive state displacement at fixed instants of time. The sufficient conditions are easy to verify and when the impulsive jumps are absent, the results… CONTINUE READING
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