Chaos synchronization of general complex dynamical networks
By Jinhu Lu, Xinghuo Yu, Guanrong Chen. 2004
444 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/e6075dd22d395ddaed5642160d0bcc8096ce4d2c
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In Computer Networks and Communications
In Statistical and Nonlinear Physics
Citations in the corpus
- Finite-time stochastic synchronization of complex networks (2010, background): “One of the hot topics in the investigation of complex dynamical networks is the chaos synchronization of all dynamical nodes in a network due to its important applications in image processing [6], general complex networks [7], biological systems [8], secure communication [9], and so on.”
- Characterizing the synchronizability of small-world dynamical networks (2004, background): “Although there are many papers which discuss the network synchronization problem [8]–[10], [15], [23]–[26], there are few results reported in the literature on how to rigorously characterize the network synchronizability.”
- Global Synchronization of Linearly Hybrid Coupled Networks with Time-Varying Delay (2008, background): “On the other hand, one can also extend the existing network models by introducing dynamical elements into the network nodes [3, 4, 14, 32, 33, 34].”
- Global Synchronization in an Array of Delayed Neural Networks With Hybrid Coupling (2008, methodology): “In addition, it has been noticed that many studies of chaos synchronization only gave local criteria via the linearization technique [19], [20], [22], [23].”
- Topology identification of weighted complex dynamical networks (2007, background): “Many existing literatures focused on investigating the geometry features, synchronization and control of complex dynamical network provided with certain topology [12–20].”
- A time-varying complex dynamical network model and its controlled synchronization criteria (2004, unknown): “However, it is quite different from the chaos synchronization case, since a chaotic attractor is an attracting invariant set and a chaotic orbit is not stable in Lyapunov sense, so the stability of the chaotic synchronous state x1(t) = x2(t) = · · · = xN (t) is equivalent to the stability of the tra”