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Strictly intermittent quantized control for fixed/predefined-time cluster lag synchronization of stochastic multi-weighted complex networks.

Authors :
Qin, Xuejiao
Jiang, Haijun
Qiu, Jianlong
Hu, Cheng
Ren, Yue
Source :
Neural Networks. Jan2023, Vol. 158, p258-271. 14p.
Publication Year :
2023

Abstract

This article addresses the fixed-time (F-T) and predefined-time (P-T) cluster lag synchronization of stochastic multi-weighted complex networks (SMWCNs) via strictly intermittent quantized control (SIQC). Firstly, by exploiting mathematical induction and reduction to absurdity, a novel F-T stability lemma is proved and an accurate estimation of settling time (ST) is obtained. Subsequently, by virtue of the proposed F-T stability, some simple conditions that ensure the F-T cluster lag synchronization of SMWCNs are derived by developing a SIQC strategy. Furthermore, the P-T cluster lag synchronization is also explored based on a SIQC design, where the ST can be predefined by an adjustable constant of the controller. Note that the designed controllers here are simpler and more economical than the traditional design whose the linear part is still activated during the rest interval. Finally, two numerical examples are provided to verify the effectiveness of the theoretical results. [ABSTRACT FROM AUTHOR]

Subjects

Subjects :
*SYNCHRONIZATION

Details

Language :
English
ISSN :
08936080
Volume :
158
Database :
Academic Search Index
Journal :
Neural Networks
Publication Type :
Academic Journal
Accession number :
161121923
Full Text :
https://doi.org/10.1016/j.neunet.2022.10.033