Global synchronization in arrays of delayed neural networks with constant and delayed coupling

By Jinde Cao, Ping Li, W. Wang. 2006

300 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e2b7f5b72326adefa4459ef6a106c40a94c48842

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. Zidong Wang
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. Jianquan Lu
8. Jinling Liang

Citations in the corpus

• Global Synchronization Control of General Delayed Discrete-Time Networks With Stochastic Coupling and Disturbances (2008, methodology): “More recently, by using Lyapunov functional method and Kronecker product technique, the global exponential synchronization has been established in [3] for arrays of coupled identical delayed neural networks with constant and delayed coupling.”
• Stability and Synchronization of Discrete-Time Markovian Jumping Neural Networks With Mixed Mode-Dependent Time Delays (2009, background): “For more details concerning synchronization of neural networks, see [5], [24]–[27], [42], and the references cited therein.”
• Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling (2008, background): “Remark 6: Corollaries 3–5 generalize and improve the results given in [28], and it can be seen that the results in Corollary 3 are less conservative than those in [28].”
• Exponential synchronization of stochastic delayed discrete-time complex networks (2008, methodology): “More recently, in [4], by using Lyapunov functional method and Kronecker product technique, the authors have investigated the global exponential synchronization in arrays of coupled identical delayed neural networks with constant and delayed coupling.”
• Synchronization and State Estimation for Discrete-Time Complex Networks With Distributed Delays (2008, background): “In recent years, the synchronization problem for various types of networks with delayed coupling has been extensively studied [2], [9], [17], [19], [23], [37].”
• Local Synchronization of a Complex Network Model (2009, background): “Next, some basic definitions and lemmas are needed, which are very much the same as those given in [5], [7]–[9], and [11].”
• Adaptive synchronization of uncertain dynamical networks with delayed coupling (2008, background): “To the best of our knowledge, the linearly coupled dynamical network is one of the most frequently discussed models [13, 14, 20, 29 , 32, 33], in which Assumption 2 is available.”
• On pinning synchronization of complex dynamical networks (2009, methodology): “Therefore, a large amount of work has been devoted to the study of synchronization in various largescale complex networks (Cao, Li, & Wang, 2006; W. Lu & T. Chen, 2004; Wang & Cao, 2006; Wang & Chen, 2002a,b; Yu, Cao, & Lü, 2008).”
• Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay (2008, methodology): “Recently, network synchronization has been intensively investigated in various different fields [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 22, 23, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34].”