Name
Title | ||
|---|---|---|
Reinforcement Learning-Based Optimal Tracking Control of an Unknown Unmanned Surface Vehicle. |
Abstract | ||
|---|---|---|
In this article, a novel reinforcement learning-based optimal tracking control (RLOTC) scheme is established for an unmanned surface vehicle (USV) in the presence of complex unknowns, including dead-zone input nonlinearities, system dynamics, and disturbances. To be specific, dead-zone nonlinearities are decoupled to be input-dependent sloped controls and unknown biases that are encapsulated into ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2020.3009214 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Optimal control,Artificial neural networks,Nonlinear systems,System dynamics,Vehicle dynamics,Mathematical model,Learning (artificial intelligence) | Journal | 32 |
Issue | ISSN | Citations |
7 | 2162-237X | 5 |
PageRank | References | Authors |
0.43 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Wang | 1 | 202 | 18.93 |
| Ying Gao | 2 | 15 | 1.60 |
| Hong Zhao | 3 | 105 | 16.53 |
| Choon Ki Ahn | 4 | 1218 | 81.53 |