Coherence Analysis for a Class of Polygon Networks With the Noise Disturbance
This study aims to analyze the network coherence of a class of polygonal networks under noise distribution. First, we derive the exact analytical solutions of first-order and second-order leaderless network coherence of a class of polygonal networks. Second, we investigate the impact of network topology on network coherence. The network coherence and robustness of the first-order leaderless networks are significantly improved with increasing the number of iterations. Finally, we demonstrate an approximately linear relationship between the second-order network coherence and the number of nodes in polygonal networks. These findings offer valuable insights into the dynamic properties and optimization strategies for polygonal networks.
Authors
- Jinde Cao (ORCID: https://orcid.org/0000-0003-3133-7119)
- Jia‐Bao Liu (ORCID: https://orcid.org/0000-0002-9620-7692)
- Liping Chen (ORCID: https://orcid.org/0000-0002-8110-5378)
- Lei Guan (ORCID: https://orcid.org/0009-0006-6293-1232)
Institutions
- Anhui Jianzhu University (CN)
- Hefei University of Technology (CN)
- Southeast University (CN)
Publication Details
- Journal
- IEEE Transactions on Systems Man and Cybernetics Systems
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1109/tsmc.2025.3559326
- Citations
- 24
- Primary Topic
- Nonlinear Dynamics and Pattern Formation
- Type
- article
- Field-Weighted Citation Impact
- 35.69
Funders
- National Natural Science Foundation of China