Online barrier-actor-critic learning for H∞ control with full-state constraints and input saturation
Work
Year: 2019
Type: article
Institutions University of Science and Technology Beijing, National Engineering Laboratory of Deep Learning Technology and Application, Baidu (China), Missouri University of Science and Technology
Cites: 59
Cited by: 81
Related to: 10
FWCI: 9.392
Citation percentile (by year/subfield): 89.88
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Funders National Natural Science Foundation of China, National Natural Science Foundation of China, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Grant IDS 61333002, 61873028, 61903028,