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Identifying partial topology of complex dynamical networks via a pinning mechanism
Shuaibing Zhu1, Jin Zhou1, Jun-An Lu1
1School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China.
Abstract:
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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