Fixed‐Time Bipartite Synchronization of Stochastic Multiplex Signed Networks Via Quantized Generalized Intermittent Control

ABSTRACT This study is dedicated to the fixed‐time (FDT) bipartite synchronization of stochastic multiplex signed networks via quantized generalized intermittent control (QGIC). Firstly, a multiplex network including signed graphs and stochastic disturbances is introduced. Secondly, a new lemma of FDT stability is established by using reduction to absurdity and mathematical induction. Thirdly, based on the proposed FDT stability and the stochastic analysis techniques, several sufficient conditions on FDT bipartite synchronization are derived by designing a novel QGIC strategy. Significantly, the designed controller is a unified form of periodic and aperiodic cases and is only activated in the work interval. At last, two numerical simulations are offered to validate the superiority and effectiveness of the theoretical findings.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-12-23
DOI
https://doi.org/10.1002/mma.10629
Citations
2
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.70

Funders

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article

Fixed‐Time Bipartite Synchronization of Stochastic Multiplex Signed Networks Via Quantized Generalized Intermittent Control

Xiangyong Chen, Haijun Jiang, Cheng Hu, Yue Ren et al.
2 citations
Mathematical Methods in the Applied Sciences
Neural Networks Stability and Synchronization
0.70
article

Fixed‐Time Bipartite Synchronization of Stochastic Multiplex Signed Networks Via Quantized Generalized Intermittent Control

Xiangyong Chen, Haijun Jiang, Cheng Hu, Yue Ren, Xuejiao Qin
article en
2 citations

Abstract

ABSTRACT This study is dedicated to the fixed‐time (FDT) bipartite synchronization of stochastic multiplex signed networks via quantized generalized intermittent control (QGIC). Firstly, a multiplex network including signed graphs and stochastic disturbances is introduced. Secondly, a new lemma of FDT stability is established by using reduction to absurdity and mathematical induction. Thirdly, based on the proposed FDT stability and the stochastic analysis techniques, several sufficient conditions on FDT bipartite synchronization are derived by designing a novel QGIC strategy. Significantly, the designed controller is a unified form of periodic and aperiodic cases and is only activated in the work interval. At last, two numerical simulations are offered to validate the superiority and effectiveness of the theoretical findings.

Mathematical Methods in the Applied SciencesVol. 48(5)
Xinjiang Medical University (CN), Linyi University (CN), Yili Normal University (CN), Second Affiliated Hospital of Xinjiang Medical University (CN), Xinjiang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Xinjiang
Openalex Percentile: Top 26%
Neural Networks Stability and Synchronization
0.70
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