Name
Title | ||
|---|---|---|
Adaptive Optimal Control for a Class of Nonlinear Systems: The Online Policy Iteration Approach. |
Abstract | ||
|---|---|---|
This paper studies the online adaptive optimal controller design for a class of nonlinear systems through a novel policy iteration (PI) algorithm. By using the technique of neural network linear differential inclusion (LDI) to linearize the nonlinear terms in each iteration, the optimal law for controller design can be solved through the relevant algebraic Riccati equation (ARE) without using the ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TNNLS.2019.2905715 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Nonlinear systems,Optimal control,Neural networks,Adaptive systems,Heuristic algorithms,Approximation algorithms,Mathematical model | Differential inclusion,Convergence (routing),Nonlinear system,Optimal control,Controller design,Control theory,Computer science,Algebraic Riccati equation,Artificial intelligence,Artificial neural network,Machine learning,Linearization | Journal |
Volume | Issue | ISSN |
31 | 2 | 2162-237X |
Citations | PageRank | References |
10 | 0.48 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shuping He | 1 | 62 | 5.53 |
| Haiyang Fang | 2 | 14 | 1.55 |
| Maoguang Zhang | 3 | 11 | 0.83 |
| Fei Liu | 4 | 65 | 5.57 |
| Zhengtao Ding | 5 | 31 | 5.53 |