Reinforcement learning control of constrained dynamic systems with uniformly ultimate boundedness stability guarantee
Work
Year: 2021
Type: article
Abstract: Reinforcement learning (RL) is promising for complicated stochastic nonlinear control problems. Without using a mathematical model, an optimal controller can be learned from data evaluated by certain ... more
Source: Automatica
Institutions Harbin Institute of Technology, Delft University of Technology, University College London
Cites: 67
Cited by: 41
Related to: 10
FWCI: 5.178
Citation percentile (by year/subfield): 99.99
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
APC paid (est): $3,500
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, China Scholarship Council, Natural Science Foundation of Heilongjiang Province
Grant IDS 12072088, 62003117, 62003118, 202006120085, ZD2020F001