Chaos An Interdisciplinary Journal of Nonlinear Science · 2018 · 46 citations · 38 references
EngineeringComputer ScienceSystems EngineeringComplex SystemsDynamical SystemsSystem DynamicsNetwork AnalysisNetwork DynamicsNetwork ModelingNetwork TheoryNetwork TopologyNetworked Systems ModelingAdaptive Feedback ControlAdaptive Feedback SystemsComplex Network AnalysisComplex NetworksNetwork Control TheoryNetwork SynchronizationNetwork Topology AnalysisSynchronization
In this paper, we study the problem of identifying the partial topology of complex dynamical networks via a pinning mechanism. By using the network synchronization theory and the adaptive feedback controlling method, we propose a method which can greatly reduce the number of nodes and observers in the response network. Particularly, this method can also identify the whole topology of complex networks. A theorem is established rigorously, from which some corollaries are also derived in order to make our method more cost-effective. Several numerical examples are provided to verify the effectiveness of the proposed method. In the simulation, an approach is also given to avoid possible identification failure caused by inner synchronization of the drive network.
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