Quasi‐stabilization/synchronization of quaternion‐valued memristive neural networks: Norm approach
This paper examines the quasi‐stabilization and synchronization of memristive neural networks in high dimensional forms. First, new criteria for the existence of the equilibrium point (EP) are delivered by contraction mapping principle. Then, a new Lyapunov function described with one‐norm form is imported for quasi‐stabilization/synchronization of the system. Finally, two numerical examples containing simulations are given to demonstrate the effectiveness.
Authors
- Jinde Cao (ORCID: https://orcid.org/0000-0003-3133-7119)
- Ruoxia Li (ORCID: https://orcid.org/0000-0002-4817-9906)
Institutions
- Southeast University (CN)
- Shaanxi Normal University (CN)
Publication Details
- Journal
- Mathematical Methods in the Applied Sciences
- Published
- 2024-11-04
- DOI
- https://doi.org/10.1002/mma.10594
- Citations
- 4
- Primary Topic
- Neural Networks Stability and Synchronization
- Type
- article
- Field-Weighted Citation Impact
- 1.40
Funders
- Natural Science Foundation of Shaanxi Provincial Department of Education
- Fundamental Research Funds for the Central Universities
- Natural Science Basic Research Program of Shaanxi Province