Improved exponential stability criteria for neural networks with time-varying delays

@article{Tian2012ImprovedES,
  title={Improved exponential stability criteria for neural networks with time-varying delays},
  author={Junkang Tian and Shouming Zhong and Yong Wang},
  journal={Neurocomputing},
  year={2012},
  volume={97},
  pages={164-173}
}
This paper concerned the problem of exponential stability criteria for neural networks with discrete and distributed time-varying delays. By dividing the delay interval into multiple segments and choosing a new Lyapunov functional, some improved stability criteria are derived in terms of linear matrix inequalities. The obtained criteria are less conservative due to a convex optimization approach is method. & 2012 Elsevier B.V. All rights reserved.