Cluster Synchronization for Coupled Neural Networks with Mixed Couplings via Pinning Partial Impulsive Strategy
This paper explores the issue of cluster synchronization (CS) for coupled neural networks (CNNs) with both current-state coupling and distributed-delay coupling using a pinning partial impulsive control (PPIC) strategy. Considering the synchronization of an array of neural networks featuring two distinct topologies and targeting a desired trajectory while reducing control costs, a novel PPIC strategy is proposed, which selectively controls a specific subset of neurons within certain subnetworks. Finally, the validity of the theoretical analysis and the proposed control scheme is demonstrated through a numerical example.
Authors
- Xinle Wang (ORCID: https://orcid.org/0000-0003-1177-1786)
- Xiaoyu Zhang (ORCID: https://orcid.org/0000-0002-0793-889X)
- 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/icnc64304.2024.10987877
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Chongqing Municipal Education Commission
- Natural Science Foundation of Sichuan Province
- Fundamental Research Funds for the Central Universities