Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays
作者:Jie Hou, Yanli Huang, Erfu Yang
摘要
The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.
论文关键词:Finite-time anti-synchronization, Coupled neural networks, Multiple weights, Robust anti-synchronization, Switching topology
论文评审过程:
论文官网地址:https://doi.org/10.1007/s11063-019-10069-x