Name
Title | ||
|---|---|---|
Event-triggered neural network control of autonomous surface vehicles over wireless network |
Abstract | ||
|---|---|---|
In this paper, an event-triggered neural network control method is proposed for autonomous surface vehicles subject to uncertainties and input constraints over wireless network. An event-triggered mechanism with three logic rules is employed to determine the wireless data transmission of states and control inputs. An event-driven neural network is applied to approximate the uncertainties using aperiodic sampled states. In addition, a predictor is employed to update the weights of neural network. An event-based bounded kinetic control law is applied to address the actuator constraints. The advantage of the proposed event-triggered neural network control approach is that the network traffic can be reduced while guaranteeing system stability and speed following performance. The closed-loop control system is proved to be input-to-state stable via cascade theory. The Zeno behavior can be avoided via the proposed event-triggered neural network control approach. A simulation example is provided to demonstrate the effectiveness of the proposed event-triggered neural network control approach for autonomous surface vehicles. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11432-019-2679-5 | Science China Information Sciences |
Keywords | DocType | Volume |
event-triggered control, aperiodic sampling, autonomous surface vehicles, neural network, actuator constraint | Journal | 63 |
Issue | ISSN | Citations |
5 | 1674-733X | 3 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingao Lv | 1 | 3 | 0.37 |
| Dan Wang | 2 | 714 | 38.64 |
| Zhouhua Peng | 3 | 645 | 36.02 |
| Lu Liu | 4 | 76 | 8.42 |
| Haoliang Wang | 5 | 3 | 0.71 |