Global stability results of discrete recurrent neural networks with interval delays

@article{Mahmoud2012GlobalSR,
  title={Global stability results of discrete recurrent neural networks with interval delays},
  author={Magdi S. Mahmoud and Fouad M. Al-Sunni},
  journal={IMA J. Math. Control & Information},
  year={2012},
  volume={29},
  pages={199-213}
}
This paper establishes improved global exponential stability method for a class of discrete-time recurrent neural networks with interval time-varying delays and norm-bounded time-varying parameter uncertainties. The method is robust and delay range dependent. It is derived based on a new Lyapunov–Krasovskii functional constructed to exhibit the delay-dependent dynamics and to compensate for the enlarged time span. The developed stability method eliminates the need for over bounding and utilizes… CONTINUE READING