Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling

By Jinde Cao, Guanrong Chen, Ping Li. 2008

359 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

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. Jinde Cao
4. Jürgen Kurths
5. Wei Ren
6. Huijun Gao
7. Jinhu Lu
8. Zidong Wang

In Statistical and Nonlinear Physics

1. Wenwu Yu
2. Jinde Cao
3. Guanrong Chen
4. Jinhu Lu
5. Zidong Wang
6. Jürgen Kurths
7. Hamid Reza Karimi
8. Huijun Gao

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “In a similar manner, consensus with time delay was studied for systems with different dynamics, where the dynamics ( 1) are replaced by other more complex ones, such as doubleintegrator dynamics and the like [ 103], [118]–[125], complex networks [126]–[129], rigid bodies and the like [ 130], [131], ”
• New Delay-Dependent Exponential $H_{\infty}$ Synchronization for Uncertain Neural Networks With Mixed Time Delays (2010, methodology): “Recently, in [ 52 ], global synchronization has been given for an array of coupled delayed NNs with a linear diffusive hybrid coupling, containing constant discrete and distributed delay coupling.”
• Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay (2010, background): “Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org.”
• Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics (2010, background): “This scenario arises naturally when agents have intrinsic nonlinear dynamics [4], [17], [18], [21], [29]–[32], [34], [35], [38], [42], [43].”
• Local Synchronization of a Complex Network Model (2009, background): “A lot of research papers [7]–[17], [37]–[39], [44], [45] have been published based on this same model, mainly on the concerned issue of synchronization.”
• 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].”