Secure Synchronization of Neural Networks by Pinning Partial Impulsive Control
This paper investigates the secure synchronization of complex dynamic networks (CDNs) under Denial-of-Service (DoS) attacks. A novel control-theoretic framework based on pinning impulsive control is proposed, and sufficient conditions for achieving secure synchronization are derived using Lyapunov-based methods. Finally, the effectiveness of the approach is validated through numerical simulations.
Authors
- Xinle Wang (ORCID: https://orcid.org/0000-0003-1177-1786)
- Xiaoyu Zhang (ORCID: https://orcid.org/0000-0003-1201-4808)
- Hongfei Li (ORCID: https://orcid.org/0000-0002-9816-717X)
Institutions
- Beijing Foreign Studies University (CN)
- Southwest University (CN)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1109/icnc64304.2024.10987773
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Sichuan Province
- Fundamental Research Funds for the Central Universities