Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies
By Daniel J. Stilwell, Erik M. Bollt, D. Gray Roberson. SIAM Journal on Applied Dynamical Systems, 2005
353 citations recorded by the source corpus.
In previous work [J. D. Skufca and E. Bollt, Mathematical Biosciences and Engineering, 1 (2004), pp. 347-359], empirical evidence indicated that a time-varying network could propagate sufficient in...
Subfields: Computer Networks and Communications, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/d03c68a3c3ca245e87bb1a1ffe6928a6f672aec1
How researchers see this paper
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In Computer Networks and Communications
- Xiwei Liu
- Tianping Chen
- Maurizio Porfiri
- Daniel J. Stilwell
- D. Gray Roberson
- Irene Sendiña-Nadal
- Stefano Boccaletti
- Ginestra Bianconi
In Molecular Biology
- Maurizio Porfiri
- Daniel J. Stilwell
- D. Gray Roberson
- Jesús Gómez-Gardeñes
- Stefano Boccaletti
- Ginestra Bianconi
- Zhen Wang
- Tianping Chen
Citations in the corpus
- The structure and dynamics of multilayer networks (2014, background): “In particular, a widely studied case is the limit of the so-called blinking networks [378,379], where the switching between different configurations happens rapidly, i.”
- Cluster Synchronization in Directed Networks Via Intermittent Pinning Control (2011, background): “For example, in [40] and [41], the authors proposed the " nodeto-node " intermittent control method, in [42] and [43], an intermittent linear error feedback coupling was introduced, and by using fast switching techniques [44], [45] the synchronization problem was investigated.”
- Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings (2014, background): “Such a scenario has been previously considered in the synchronization of coupled oscillators in time-dependent networks with edges being switched on and off [32] and in moving-neighbor networks whose edges are defined by the local interactions between agents that move in space [31].”
- Tracking and formation control of multiple autonomous agents: A two-level consensus approach (2007, methodology): “We take advantage of results from fast switching theory to derive new stability conditions for systems with limited communication, e.g. Stilwell, Bollt, and Roberson (2006).”