Abstract | ||
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The model-free optimal control problem of general discrete-time nonlinear systems is considered in this paper, and a data-based policy gradient adaptive dynamic programming (PGADP) algorithm is developed to design an adaptive optimal controller method. By using offline and online data rather than the mathematical system model, the PGADP algorithm improves control policy with a gradient descent sch... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TCYB.2016.2623859 | IEEE Transactions on Cybernetics |
Keywords | Field | DocType |
Optimal control,Mathematical model,Autoregressive processes,Heuristic algorithms,Nonlinear systems,Cost function,Algorithm design and analysis | Convergence (routing),Dynamic programming,Gradient descent,Control theory,Mathematical optimization,Algorithm design,Nonlinear system,Optimal control,Computer science,Adaptive control | Journal |
Volume | Issue | ISSN |
47 | 10 | 2168-2267 |
Citations | PageRank | References |
37 | 0.90 | 47 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Biao Luo | 1 | 554 | 23.80 |
Derong Liu | 2 | 5457 | 286.88 |
Huai-Ning Wu | 3 | 2104 | 98.52 |
Ding Wang | 4 | 1870 | 68.16 |
FRANK L. LEWIS | 5 | 5782 | 402.68 |