Synchronization control of stochastic delayed neural networks communicating with unreliable links
Yijun Zhang, Dong Yue, Engang Tian · 2009
This letter considers the problem of mean-square exponential synchronization control for a class of stochastic delayed neural networks. Different from the prior works, the master-response synchronization setup under consideration transmits its signals through unreliable links, which include network-induced delays, frame losses, and random fluctuations. We firstly introduce a mathematical model of networked synchronization control. By using Lyapunov method, some delay-dependent sufficient criteria are derived for the error system to be mean-square exponentially stable, which ensure the response systems synchronize with the master in the mean square sense. An illustrative example is provided to show the effectiveness and applicability of the proposed scheme.