Synchronization in complex delayed dynamical networks with impulsive effects
Jin Zhou,
Lan Xiang and
Zengrong Liu
Physica A: Statistical Mechanics and its Applications, 2007, vol. 384, issue 2, 684-692
Abstract:
The present paper is mainly concerned with the issues of synchronization dynamics of complex delayed dynamical networks with impulsive effects. A general model of complex delayed dynamical networks with impulsive effects is formulated, which can well describe practical architectures of more realistic complex networks related to impulsive effects. Based on impulsive stability theory on delayed dynamical systems, some simple but less conservative criterion are derived for global synchronization of such dynamical network. It is shown that synchronization of the networks is heavily dependent on impulsive effects of connecting configuration in the networks. Furthermore, the theoretical results are applied to a typical SF network composing of impulsive coupled chaotic delayed Hopfield neural network nodes, and are also illustrated by numerical simulations.
Keywords: Complex dynamical networks; Impulsive effects; Time-delays; Global synchronization; Scale-free network; Chaotic delayed Hopfield neural network (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (15)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:384:y:2007:i:2:p:684-692
DOI: 10.1016/j.physa.2007.05.060
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