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.
Authors
- Song Zhu (ORCID: https://orcid.org/0000-0001-5228-9406)
- Yue Chen (ORCID: https://orcid.org/0000-0002-8269-6536)
- Shiping Wen (ORCID: https://orcid.org/0000-0002-5048-0319)
- Xiaoyang Liu (ORCID: https://orcid.org/0000-0001-5215-8270)
- Yan Li (ORCID: https://orcid.org/0000-0001-6682-0456)
Institutions
- University of Technology Sydney (AU)
- Jiangsu Normal University (CN)
- China University of Mining and Technology (CN)
- Macquarie University (AU)
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
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities