Finite-Time Synchronization of Complex-Valued Neural Networks With Infinite Delays: A Criterion and Examples
This paper discusses finite-time synchronization of complex-valued neural networks (CVNNs) with infinite delays. By utilizing non-separation approach, analytical strategy, and inequality techniques, a criterion is constructed to ensure that finite-time synchronization of CVNNs can be achieved. The designed controller only consists of state feedback term and sign function term. Finally, to confirm the effectiveness of the theoretical outcomes, two numerical examples are given.
Authors
- Haoyu Gong (ORCID: https://orcid.org/0009-0007-3089-186X)
- Shen Wang (ORCID: https://orcid.org/0000-0002-5013-1039)
- Yin Sheng (ORCID: https://orcid.org/0000-0003-4698-5100)
Institutions
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Systems Man and Cybernetics Magazine
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/msmc.2024.3433108
- Citations
- 1
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 1.49
Funders
- National Natural Science Foundation of China
- Henan University of Science and Technology