Name
Abstract | ||
|---|---|---|
This paper deals with the finite-time stability problem for switched static neural networks with time-varying delay. By employing the Lyapunov-like functional method and the average dwell time approach, a sufficient criterion is obtained, which can guarantee the finite-time stability of the concerned networks. Moreover, the derived conditions can be simplified into linear matrix inequalities conditions for convenient use. Finally, a numerical example is given to show the validity of the proposed results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-68505-2_44 | CLOUD COMPUTING AND SECURITY, PT I |
Keywords | Field | DocType |
Finite-time stability, Switched static neural networks, Time-varying delay, Lyapunov-like functional, Average dwell time | Dwell time,Computer science,Control theory,Matrix (mathematics),Artificial neural network,Finite time,Distributed computing | Conference |
Volume | ISSN | Citations |
10602 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 16 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhihua Diao | 1 | 1 | 0.70 |
| Chunying Diao | 2 | 0 | 0.34 |
| Xiaoliang Qian | 3 | 11 | 2.93 |
| Yuanyuan wu | 4 | 126 | 9.00 |