Name
Title | ||
|---|---|---|
Adaptive Neural Network Tracking Control for Double-Pendulum Tower Crane Systems With Nonideal Inputs |
Abstract | ||
|---|---|---|
A novel adaptive neural network tracking control method is systematically investigated for a unique double-pendulum tower crane system model in this article. Several critical and practical application-oriented control issues, including robustness, tracking error limitation, double-pendulum effects, and input dead zone nonlinearity, are considered simultaneously, which have never been well addresse... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TSMC.2020.3048722 | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
Keywords | DocType | Volume |
Cranes,Poles and towers,Payloads,Neural networks,Adaptive systems,Trajectory,Adaptation models | Journal | 52 |
Issue | ISSN | Citations |
4 | 2168-2216 | 1 |
PageRank | References | Authors |
0.36 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Menghua Zhang | 1 | 3 | 2.07 |
| Jian Xu | 2 | 224 | 55.55 |