Local Synchronization of a Complex Network Model
By Wenwu Yu, Jinde Cao, Guanrong Chen, Jinhu Lu, Jiangxue Han, Wei Wei. 2009
166 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
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
Citations in the corpus
- Distributed leader-follower flocking control for multi-agent dynamical systems with time-varying velocities (2010, methodology): “Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal.”
- Synchronization via Pinning Control on General Complex Networks (2013, methodology): “For the global behavior, a distance function from the collective states of the network vertices to the synchronization manifold was used [40, 44] to study global synchronization of coupled networks and systems [18, 48, 49].”
- 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].”
- Distributed Higher Order Consensus Protocols in Multiagent Dynamical Systems (2011, background): “…been achieved in the study of collective behaviors of multiagent dynamical systems, such as consensus [4], [9], [10], [13], [18], [21]–[24], [33], [34], [36], synchronization [1], [5], [6], [14], [16], [17], [20], [27], [29], [31], [32], [35], [37], [38], and swarming and flocking [19], [25], [26].”
- Consensus in Directed Networks of Agents With Nonlinear Dynamics (2011, background): “The consensus protocol in a multi-agents system considered in [6] is as follows: (1) If the network topology changes with time [5], [7]–[9], then in (1) is a time-varying matrix.”
- Distributed Consensus Filtering in Sensor Networks (2009, background): “It would be interesting to see how synchronization of complex networks [10]–[19] can be used in the distributed consensus filtering design.”