Improved Stability and Stabilization Results for Stochastic Synchronization of Continuous-Time Semi-Markovian Jump Neural Networks With Time-Varying Delay.

Abstract

Continuous-time semi-Markovian jump neural networks (semi-MJNNs) are those MJNNs whose transition rates are not constant but depend on the random sojourn time. Addressing stochastic synchronization of semi-MJNNs with time-varying delay, an improved stochastic stability criterion is derived in this paper to guarantee stochastic synchronization of the… (More)
DOI: 10.1109/TNNLS.2017.2696582

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Cite this paper

@article{Wei2017ImprovedSA, title={Improved Stability and Stabilization Results for Stochastic Synchronization of Continuous-Time Semi-Markovian Jump Neural Networks With Time-Varying Delay.}, author={Yanling Wei and Ju H. Park and Hamid Reza Karimi and Yu-Chu Tian and Hoyoul Jung}, journal={IEEE transactions on neural networks and learning systems}, year={2017} }