Name
Title | ||
|---|---|---|
Adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure. |
Abstract | ||
|---|---|---|
Reinforcement learning has proved to be a powerful tool to solve optimal control problems over the past few years. However, the data-based constrained optimal control problem of nonaffine nonlinear discrete-time systems has rarely been studied yet. To solve this problem, an adaptive optimal control approach is developed by using the value iteration-based Q-learning (VIQL) with the critic-only stru... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TNNLS.2017.2751018 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Optimal control,Performance analysis,Nonlinear systems,Discrete-time systems,Dynamic programming,Learning (artificial intelligence),Mathematical model | Dynamic programming,Control theory,Gradient descent,Mathematical optimization,Optimal control,Computer science,Q-learning,Artificial intelligence,Adaptive control,Machine learning,Constrained optimization,Reinforcement learning | Journal |
Volume | Issue | ISSN |
29 | 6 | 2162-237X |
Citations | PageRank | References |
13 | 0.51 | 36 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Luo | 1 | 554 | 23.80 |
| Derong Liu | 2 | 5457 | 286.88 |
| Huai-Ning Wu | 3 | 2104 | 98.52 |