Name
Title | ||
|---|---|---|
Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks |
Abstract | ||
|---|---|---|
We investigate a general way to achieve finite-time synchronization (FnTSYN) for networks via aperiodically intermittent control (AInC). At first, we propose a general sufficient criteria under AInC for finite-time stability (FnTSta). Then, a general model for complex networks under this sufficient condition is given. Furthermore, we apply the proposed condition to the spatially coupled reaction-diffusion neural networks (RDNNs) to realize its FnTSYN. Finally, simulations are given to verify the results. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IJCNN52387.2021.9533381 | 2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) |
Keywords | DocType | ISSN |
Finite-time synchronization, aperiodically intermittent control, finite-time stability, complex dynamic networks, reaction-diffusion neural networks | Conference | 2161-4393 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| X. Liu | 1 | 51 | 3.87 |
| Yuntao Wei | 2 | 0 | 0.68 |