A novel criterion for finite-time synchronization transmission of signal between uncertain laser networks

Abstract We develop a novel technique to research finite-time synchronization transmission of signal between uncertain laser networks. Firstly, we analyze the new nonlinear effects of the laser output with ring cavity considering the transverse effects. Further, we modify the traditional sliding mode control technique so that it can be applied to finite-time synchronization transmission of signal between uncertain laser networks. And the network controller is designed by choosing the appropriate sliding surface, finite-time synchronization criterion between networks is obtained. At the same time, the adjustable parameter in network controller can be determined effectively based on the adaptive law designed.

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Publication Details

Journal
Journal of Nonlinear Complex and Data Science
Published
2026-04-21
DOI
https://doi.org/10.1515/jncds-2025-0093
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
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article

A novel criterion for finite-time synchronization transmission of signal between uncertain laser networks

Hongfeng Hou, Ling Lü
Journal of Nonlinear Complex and Data Science
Neural Networks Stability and Synchronization
article

A novel criterion for finite-time synchronization transmission of signal between uncertain laser networks

Hongfeng Hou, Ling Lü
article en

Abstract

Abstract We develop a novel technique to research finite-time synchronization transmission of signal between uncertain laser networks. Firstly, we analyze the new nonlinear effects of the laser output with ring cavity considering the transverse effects. Further, we modify the traditional sliding mode control technique so that it can be applied to finite-time synchronization transmission of signal between uncertain laser networks. And the network controller is designed by choosing the appropriate sliding surface, finite-time synchronization criterion between networks is obtained. At the same time, the adjustable parameter in network controller can be determined effectively based on the adaptive law designed.

Journal of Nonlinear Complex and Data Science
Dalian University of Technology (CN), Dalian University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Neural Networks Stability and Synchronization
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