Finite-Time Synchronization for Delayed NNs via Generalized Halanay Inequalities

This article examines the finite-time (F-T) synchronization issue for a class of recurrent neural networks (NNs) that have, respectively, bounded and unbounded time-varying delays. First, two novel F-T stability lemmas are presented in the form of generalized Halanay inequalities. Second, based on the obtained lemmas, some simple and easy-to-use F-T synchronization criteria are rendered for the considered NNs under two different Lyapunov functions. The results obtained in this article greatly reduce system constraints and are therefore more applicable. The validity of the theoretical results derived in this article is finally checked using three numerical instances.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2025-04-21
DOI
https://doi.org/10.1109/tsmc.2025.3559474
Citations
5
Primary Topic
Nonlinear Dynamics and Pattern Formation
Type
article
Field-Weighted Citation Impact
7.44

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article

Finite-Time Synchronization for Delayed NNs via Generalized Halanay Inequalities

Song Zhu, Yue Chen, Shiping Wen, Xiaoyang Liu et al.
5 citations
IEEE Transactions on Systems Man and Cybernetics Systems
Nonlinear Dynamics and Pattern Formation
7.44
article

Finite-Time Synchronization for Delayed NNs via Generalized Halanay Inequalities

Song Zhu, Yue Chen, Shiping Wen, Xiaoyang Liu, Yan Li
article en
5 citations

Abstract

This article examines the finite-time (F-T) synchronization issue for a class of recurrent neural networks (NNs) that have, respectively, bounded and unbounded time-varying delays. First, two novel F-T stability lemmas are presented in the form of generalized Halanay inequalities. Second, based on the obtained lemmas, some simple and easy-to-use F-T synchronization criteria are rendered for the considered NNs under two different Lyapunov functions. The results obtained in this article greatly reduce system constraints and are therefore more applicable. The validity of the theoretical results derived in this article is finally checked using three numerical instances.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(7)
University of Technology Sydney (AU), Jiangsu Normal University (CN), China University of Mining and Technology (CN), Macquarie University (AU)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 3%
Nonlinear Dynamics and Pattern Formation
7.44
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