Delay-Dependent Stability Analysis for Neural Networks with Two Additive Time-Varying Delay Components

@article{Wang2012DelayDependentSA,
  title={Delay-Dependent Stability Analysis for Neural Networks with Two Additive Time-Varying Delay Components},
  author={Peiming Wang and Shouming Zhong and Huan Yao Lei},
  journal={2012 International Conference on Computer Science and Service System},
  year={2012},
  pages={2181-2184}
}
In this paper, sufficient conditions are provided for the stability of neural networks with two additive time-varying delay components. It is assumed that the delays in the system is time-varying and bounded. A new parameter-dependent Lyapunov-Krasovskii functional is defined to obain stability condition of the considered neural networks using linear matrix inequality (LMI) approach. Finally, a numerical example is presented to illustrate the effectiveness of the proposed method.