TY - JOUR
T1 - Finite-time anti-synchronization of multi-weighted coupled neural networks with and without coupling delays
AU - Hou, Jie
AU - Huang, Yanli
AU - Yang, Erfu
N1 - This is a post-peer-review, pre-copyedit version of an article published in Neural Processing Letters. The final authenticated version is available online at: http://dx.doi.org/10.1007/s11063-019-10069-x.
PY - 2019/12/1
Y1 - 2019/12/1
N2 - 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.
AB - 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.
KW - finite-time anti-synchronization
KW - coupled neural networks
KW - multiple weights
KW - robust anti-synchronization
KW - switching topology
UR - https://link.springer.com/journal/11063
U2 - 10.1007/s11063-019-10069-x
DO - 10.1007/s11063-019-10069-x
M3 - Article
VL - 50
SP - 2871
EP - 2898
JO - Neural Processing Letters
JF - Neural Processing Letters
SN - 1370-4621
IS - 3
ER -