Adaptive Event-Triggered Lag Outer Synchronization for Coupled Neural Networks With Multistate or Multiderivative Couplings
Multistate coupled coupled neural networks (MSCCNN) and multiderivative coupled coupled neural networks (MDCCNN) are introduced in this article, and the lag outer synchronization for these two networks are tackled. First, a lag outer synchronization criterion for MSCCNN is derived using a node-based adaptive event-triggered control scheme, and the fact that the Zeno behavior does not exist is also proved. Moreover, the edge-based adaptive event-triggered control method is also utilized to address the lag outer synchronization for MSCCNN, and the existence of Zeno behavior is ruled out. In addition, two lag outer synchronization criteria for MDCCNN are given on the basis of the node- and edge-based adaptive event-triggered control strategies, and the nonexistence of Zeno behavior is also established. Finally, two examples are provided to demonstrate the feasibility of the proposed control schemes.
Authors
- Jian-Qiao Wang (ORCID: https://orcid.org/0000-0002-1789-4843)
- Shun‐Yan Ren (ORCID: https://orcid.org/0000-0002-1822-4374)
- Jin‐Liang Wang (ORCID: https://orcid.org/0000-0002-7424-1777)
- Tingwen Huang
- Yan-Ran Zhu
Institutions
- University of Electronic Science and Technology of China (CN)
- Shenzhen University (CN)
- Tiangong University (CN)
- Shenzhen Technology University (CN)
Publication Details
- Journal
- IEEE Transactions on Cybernetics
- Published
- 2025-01-10
- DOI
- https://doi.org/10.1109/tcyb.2024.3519171
- Citations
- 7
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 10.41
Funders
- National Natural Science Foundation of China