Name
Title | ||
|---|---|---|
Event-triggered Neural Network-Based Adaptive Control for a Class of Uncertain Nonlinear Systems |
Abstract | ||
|---|---|---|
In the paper, an event triggering adaptive control method based on neural network (NN) is proposed for a class of uncertain nonlinear systems with external disturbances. In order to reduce the network resource utilization, a novel event-triggered condition by the Lyapunov approach is proposed. In addition, the NN controller and adaptive parameters determined by the Lyapunov stability method are updated only at triggered instants to reduce the amount of calculation. Only one NN is used as the controller in the entire system. The stability analysis results of the closed-loop system are obtained by the Lyapunov approach, which shows that all the signals in the systems with bounded disturbance are semi-globally bounded. Zeno behavior is avoided. Finally, the analytical design is confirmed by the simulation results on a two-link robotic manipulator. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1142/S0218126621502753 | JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS |
Keywords | DocType | Volume |
Neural network, Lyapunov stability method, uncertain nonlinear system, event-triggering | Journal | 30 |
Issue | ISSN | Citations |
15 | 0218-1266 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Hu | 1 | 0 | 0.68 |
| yang li | 2 | 6 | 41.06 |
| Wei Yi | 3 | 252 | 36.97 |
| Yuebiao Wang | 4 | 0 | 0.68 |
| Fan Qu | 5 | 0 | 0.34 |
| Xiaofeng Wang | 6 | 3 | 4.45 |