Remote synchronization of coupled dynamic networks with neutral-type neural network nodes
This letter considers the mean-square exponential remote synchronization problem for a class of dynamic networks with time-varying delayed couplings. The dynamic of each node in the considered networks is described by a neutral-type system. The remote master system and the dynamic networks transmit signals mutually through the common communication channels, which include network-induced delays, frame losses, and random fluctuations. Considering the conditions of the communication networks, a state error system is formulated. By using Lyapunov functional method and some properties of Kronecker product, some synchronization criteria are derived to ensure the mean-square global exponential synchronization of state trajectories for the remote master system and the coupled dynamic networks. The controller gain matrices could be obtained by solving a minimization problem through a cone complementary technique. An illustrative example is presented to show the effectiveness of the proposed approach.
Synchronization remote synchronization neutral system neural networks time delay
ZHANG Yijun QU Yi
School of Automation, Nanjing University of Science and Technology, Nanjing 210094, P.R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
3407-3412
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）