Bipartite Complete Synchronization of Fractional Heterogeneous Networks via Quantized Control Without Gauge Transformation

Recently, gauge transformation-based bipartite synchronization has received much interest, but the method of gauge transformation alters the original signed topological structure and the competition or cooperation among individuals is obscured. In addition, the heterogeneity of nodes brings great difficulty and challenge for heterogeneous networks to achieve complete synchronization like homogeneous networks. In this article, without converting signed graph into corresponding unsigned structure via the gauge transformation, the bipartite complete synchronization of heterogeneous fractional networks is explored. Above all, a mathematic model of fractional networks with signed topology and heterogeneous nodes’ dynamics is introduced, in which the topological graph possesses both negative and positive edges to illustrate the competition and cooperation between individuals, and the desired synchronized state is an arbitrarily specified smooth orbit and not necessarily the decoupled state. Additionally, two innovative control schemes with logarithmic quantizer are developed, and several conditions are obtained to reach bipartite complete synchronization of fractional heterogeneous networks just by virtue of the Laplacian matrix of the original signed graph rather than the traditional technique of gauge transformation. The theoretical analysis is eventually confirmed by several numerical results.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-03-14
DOI
https://doi.org/10.1109/tsmc.2025.3546677
Citations
3
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
4.46

Funders

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article

Bipartite Complete Synchronization of Fractional Heterogeneous Networks via Quantized Control Without Gauge Transformation

Hongli Li, Cheng Hu, Yu Sun, Juan Yu et al.
3 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Neural Networks Stability and Synchronization
4.46
article

Bipartite Complete Synchronization of Fractional Heterogeneous Networks via Quantized Control Without Gauge Transformation

Hongli Li, Cheng Hu, Yu Sun, Juan Yu, Shiping Wen
article en
3 citations

Abstract

Recently, gauge transformation-based bipartite synchronization has received much interest, but the method of gauge transformation alters the original signed topological structure and the competition or cooperation among individuals is obscured. In addition, the heterogeneity of nodes brings great difficulty and challenge for heterogeneous networks to achieve complete synchronization like homogeneous networks. In this article, without converting signed graph into corresponding unsigned structure via the gauge transformation, the bipartite complete synchronization of heterogeneous fractional networks is explored. Above all, a mathematic model of fractional networks with signed topology and heterogeneous nodes’ dynamics is introduced, in which the topological graph possesses both negative and positive edges to illustrate the competition and cooperation between individuals, and the desired synchronized state is an arbitrarily specified smooth orbit and not necessarily the decoupled state. Additionally, two innovative control schemes with logarithmic quantizer are developed, and several conditions are obtained to reach bipartite complete synchronization of fractional heterogeneous networks just by virtue of the Laplacian matrix of the original signed graph rather than the traditional technique of gauge transformation. The theoretical analysis is eventually confirmed by several numerical results.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(5)
University of Technology Sydney (AU), Xinjiang University (CN)
National Natural Science Foundation of China, Science Research Foundation of Xijing University
Openalex Percentile: Top 6%
Neural Networks Stability and Synchronization
4.46
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