Name
Title | ||
|---|---|---|
Asymptotical stability of fractional neutral-type delayed neural networks with reaction-diffusion terms |
Abstract | ||
|---|---|---|
This article investigates the asymptotical stability of the equilibrium point for a class of fractional neutral-type delayed neural networks with reaction-diffusion terms in sense of Riemann–Liouville. In terms of linear matrix inequalities approach, inequality scaling techniques and Green’s theorem, by constructing a suitable Lyapunov functional, some less conservative criterion of asymptotical stability for the neural networks system are given. Inspired by some achievements, the results obtained in this paper are more general and can easily test the stability of practical neural networks systems. Finally, two numerical examples are elaborated to substantiate the validity and conciseness of theoretical results. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2021.07.042 | Neurocomputing |
Keywords | DocType | Volume |
Asymptotical stability,Fractional,Delayed,Neutral-type,Reaction-diffusion | Journal | 461 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiang Wu | 1 | 0 | 0.34 |
| Shutang Liu | 2 | 0 | 0.34 |
| Yin Wang | 3 | 12 | 9.28 |
| Zhibin Liu | 4 | 0 | 1.69 |