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Topology and parameters recognition of uncertain complex networks via nonidentical adaptive synchronization

Version 2 2024-06-17, 23:55
Version 1 2017-05-16, 15:48
journal contribution
posted on 2024-06-17, 23:55 authored by Z Tang, JH Park, TH Lee
Topology plays an essential role in chaotic behaviors and evolution performances of a complex dynamical network. In this paper, recognition issue for unknown system parameters and topology of uncertain general complex dynamical networks with nonlinear couplings and time-varying delay is investigated through generalized outer synchronization. Firstly, the unknown system parameters and topology in master network are successfully estimated by a slave network. Secondly, the unknown system parameters of both two networks and the unknown topology of the master network are effectively evaluated in view of generalized outer synchronization based on an adaptive feedback control strategy. Two situations of parameters and topologies recognition are efficiently verified by illustrative numerical simulations.

History

Journal

Nonlinear Dynamics

Volume

85

Pagination

2171-2181

Location

Netherlands

ISSN

0924-090X

eISSN

1573-269X

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, Springer

Issue

4

Publisher

Springer Verlag

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