Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2018.1552473
Local time-varying topology identification of network with unknown parameters based on adaptive synchronization
Hai-Peng Ren
; Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, People’s Republic of China
Kun Tian
; Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, People’s Republic of China
Ren Zhou
; Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xi’an University of Technology, Xi’an, People’s Republic of China
Sažetak
The network with some or all of characteristics including self-organization, self-similarity, attractor, small world and scale-free is referred to as a complex network. A complex network might
demonstrate various uncertainties, such as the unknown node kinetics and the unknown network topology. The network topology identification using the observing output data of the network is a crucial step for complex network analysis, which is of great importance to understand the networks’ properties and regulate network. In this paper, the output variable is used to drive the response network to identify partial time-varying topology of the drive network with unknown parameters. The synchronization between the response network and drive network and the successful identification are guaranteed by the Lyapunov stability theorem. The feasibility of the proposed method is demonstrated using two examples.
Ključne riječi
Complex network; partial topology identification; synchronization; unknown parameters
Hrčak ID:
225221
URI
Datum izdavanja:
12.12.2018.
Posjeta: 1.000 *