Global Synchronization of Coupled Delayed Neural Networks and Applications to Chaotic CNN Models

By Guanrong Chen, Jin Zhou, Zengrong Liu. International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 2004

328 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/c62abf71d94495d33bdcf1747ad5927fc71859bb

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Wenwu Yu
2. Guanrong Chen
3. Zidong Wang
4. Jinde Cao
5. Xiaohui Liu
6. Jinling Liang
7. Jinhu Lu
8. Yurong Liu

In Statistical and Nonlinear Physics

1. Wenwu Yu
2. Jinde Cao
3. Guanrong Chen
4. Jinhu Lu
5. Zidong Wang
6. Xiaohui Liu
7. Jinling Liang
8. Yurong Liu

Citations in the corpus

• Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling (2008, methodology): “Considering the existence of delays in spreading due to the finite speeds of transmission as well as traffic congestions in [28], the model in [27] is extended”
• Local Synchronization of a Complex Network Model (2009, background): “In [7], [8], and [11], the following system was studied:”
• Distributed Consensus Filtering in Sensor Networks (2009, methodology): “In [21], a distance from the collective states to the synchronization manifold was defined and then utilized to obtain conditions for global synchronization of coupled systems [12], [13], [22].”
• Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays (2009, methodology): “In [9], the Lyapunov functional method and the Hermitian matrix theory have been employed to investigate the global synchronization of the coupled neural networks by defining a distance between any point and the synchronization manifold.”