Name
Title | ||
|---|---|---|
Data-Driven Zero-Sum Neuro-Optimal Control for a Class of Continuous-Time Unknown Nonlinear Systems With Disturbance Using ADP. |
Abstract | ||
|---|---|---|
This paper is concerned with a new data-driven zero-sum neuro-optimal control problem for continuous-time unknown nonlinear systems with disturbance. According to the input-output data of the nonlinear system, an effective recurrent neural network is introduced to reconstruct the dynamics of the nonlinear system. Considering the system disturbance as a control input, a two-player zero-sum optimal ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2015.2464080 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Optimal control,Nonlinear systems,Performance analysis,Convergence,Neural networks,Lyapunov methods | Convergence (routing),Dynamic programming,Mathematical optimization,Optimal control,Data-driven,Nonlinear system,Control theory,Matrix (mathematics),Computer science,Recurrent neural network,Artificial neural network | Journal |
Volume | Issue | ISSN |
27 | 2 | 2162-237X |
Citations | PageRank | References |
63 | 1.23 | 39 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qinglai Wei | 1 | 2494 | 110.44 |
| Ruizhuo Song | 2 | 399 | 20.21 |
| Pengfei Yan | 3 | 148 | 4.82 |