Name
Abstract | ||
|---|---|---|
Model-free control is an important and promising topic in control fields, which has attracted extensive attention in the past few years. In this paper, we aim to solve the model-free optimal tracking control problem of nonaffine nonlinear discrete-time systems. A critic-only Q-learning (CoQL) method is developed, which learns the optimal tracking control from real system data, and thus avoids solv... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2016.2585520 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Mathematical model,Performance analysis,Control design,Optimal control,Discrete-time systems,Trajectory | Convergence (routing),Mathematical optimization,Gradient descent,Optimal control,Linear-quadratic-Gaussian control,Computer science,Control theory,Q-learning,Exploration problem,Artificial neural network,Approximation error | Journal |
Volume | Issue | ISSN |
27 | 10 | 2162-237X |
Citations | PageRank | References |
58 | 1.26 | 56 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Biao Luo | 1 | 554 | 23.80 |
| Derong Liu | 2 | 5457 | 286.88 |
| Tingwen Huang | 3 | 5684 | 310.24 |
| Ding Wang | 4 | 1870 | 68.16 |