ROBUST STABILITY OF UNCERTAIN HOPFIELD NEURAL NETWORKS WITH PROPORTIONAL DELAYS
The problem of robust stability is investigated for a class of uncertain Hopfield-type neural networks with proportional delays. The existence and uniqueness of an equilibrium is first established using the homeomorphic mapping theorem. Then, by employing a modified Lyapunov–Krasovskii functional, a new criterion for the global asymptotic stability of an equilibrium point of the system is formulated.
Authors
- Dang Thi Thu Hien
Institutions
- Jiangsu Second Normal University (CN)
Publication Details
- Journal
- Journal of Science Natural Science
- Published
- 2024-10-31
- DOI
- https://doi.org/10.18173/2354-1059.2024-0031
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00