Name
Title | ||
|---|---|---|
Optimal Output Regulation for Model-Free Quanser Helicopter With Multistep Q-Learning. |
Abstract | ||
|---|---|---|
In this paper, the optimal output regulation problem is considered for the model-free 2-degree-of-freedom (2-DOF) helicopter. A multistep Q-learning (MsQL) method is developed with multistep policy evaluation. First, by introducing the Q-function, the optimal output regulation problem is converted to finding the optimal Q-function. Therefore, the MsQL algorithm is proposed and its convergence theo... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2017.2772162 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Helicopters,Optimal control,Convergence,Control design,Mathematical model,Adaptation models,Learning (artificial intelligence) | Convergence (routing),Optimal control,Control theory,Q-learning,Engineering,Symbolic convergence theory,System model | Journal |
Volume | Issue | ISSN |
65 | 6 | 0278-0046 |
Citations | PageRank | References |
6 | 0.43 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Luo | 1 | 554 | 23.80 |
| Huai-Ning Wu | 2 | 2104 | 98.52 |
| Tingwen Huang | 3 | 5684 | 310.24 |