Name
Title | ||
|---|---|---|
Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle |
Abstract | ||
|---|---|---|
An unmanned surface vehicle (USV) under complicated marine environments can hardly be modeled well such that model-based optimal control approaches become infeasible. In this article, a self-learning-based model-free solution only using input–output signals of the USV is innovatively provided. To this end, a data-driven performance-prescribed reinforcement learning control (DPRLC) scheme is create... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TNNLS.2021.3056444 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | DocType | Volume |
Optimal control,Vehicle dynamics,System dynamics,Field-flow fractionation,Transient analysis,Reinforcement learning,Steady-state | Journal | 32 |
Issue | ISSN | Citations |
12 | 2162-237X | 3 |
PageRank | References | Authors |
0.41 | 18 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ning Wang | 1 | 198 | 11.46 |
| Ying Gao | 2 | 15 | 1.60 |
| Xuefeng Zhang | 3 | 3 | 0.41 |