Name
Abstract | ||
|---|---|---|
In this paper, we investigated the stability of continuous-time nonlinear systems and designed a Neural-Network-Controller based event-triggered. First, we designed a system delay model for the transmission time-delay contained in the system. Based on the designed time-delay model, the input delay method was used to convert the synchronous controller solution problem into a stability problem for the corresponding time-delay system. Second, by using a piecewise Lyapunov-Krasovskii functional combined with the Jensen's inequality, both the stability condition of the continuous-time nonlinear systems and the solution method of sampling controller were given. The designed sampling controller is able to update the control parameters only when the triggering rules are fulfilled, thus reducing the transmission rate of the network. Finally, the effectiveness of the proposed method was verified by numerical simulation. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.jfranklin.2020.07.040 | Journal of the Franklin Institute |
DocType | Volume | Issue |
Journal | 357 | 14 |
ISSN | Citations | PageRank |
0016-0032 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yan Gao | 1 | 44 | 2.25 |
| Xin Guo | 2 | 0 | 0.34 |
| Rao Yao | 3 | 0 | 0.34 |
| Wuneng Zhou | 4 | 467 | 53.74 |
| Carlo Cattani | 5 | 92 | 26.22 |