Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays

@article{Saravanakumar2017StabilityOM,
  title={Stability of Markovian Jump Generalized Neural Networks With Interval Time-Varying Delays},
  author={Ramasamy Saravanakumar and Muhammed Syed Ali and Choon Ki Ahn and Hamid Reza Karimi and Peng Shi},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2017},
  volume={28},
  pages={1840-1850}
}
This paper examines the problem of asymptotic stability for Markovian jump generalized neural networks with interval time-varying delays. Markovian jump parameters are modeled as a continuous-time and finite-state Markov chain. By constructing a suitable Lyapunov–Krasovskii functional (LKF) and using the linear matrix inequality (LMI) formulation, new delay-dependent stability conditions are established to ascertain the mean-square asymptotic stability result of the equilibrium point. The… CONTINUE READING
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