Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/116341
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Global H∞ pinning synchronization of complex networks with sampled-data communications
Other Titles: Global H-infinity pinning synchronization of complex networks with sampled-data communications
Author: Xu, Z.
Shi, P.
Su, H.
Wu, Z.
Huang, T.
Citation: IEEE Transactions on Neural Networks and Learning Systems, 2018; 29(5):1467-1476
Publisher: IEEE
Issue Date: 2018
ISSN: 2162-237X
2162-2388
Statement of
Responsibility: 
Zhaowen Xu, Peng Shi, Hongye Su, Zheng-Guang Wu and Tingwen Huang
Abstract: This paper investigates the global H ∞ pinning synchronization problem for a class of complex networks with aperiodic samplings. Combined with the Writinger-based integral inequality, a new less conservative criterion is presented to guarantee the global pinning synchronization of the complex network. Furthermore, a novel condition is proposed under which the complex network is globally pinning synchronized with a given H ∞ performance index. It is shown that the H ∞ performance index γ has a positive correlation with the upper bound of the sampling intervals. Finally, the validity and the advantage of the theoretic results obtained are verified by means of the applications in Chua's circuit and pendulum.
Keywords: Complex networks; synchronization; trajectory; couplings; performance analysis; learning systems; feedback control
Rights: © 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.
DOI: 10.1109/TNNLS.2017.2673960
Grant ID: http://purl.org/au-research/grants/arc/DP170102644
Published version: http://dx.doi.org/10.1109/tnnls.2017.2673960
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.