Title
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics
Abstract
In this article, we investigate the self-learning robust control synthesis and tracking design of general uncertain dynamical systems. Based on the adaptive critic learning, the robust stabilization method is developed with the help of conducting problem transformation. In addition, by considering the optimal control solution with a discounted cost function, the established method is extended to a...
Year
DOI
Venue
2022
10.1109/TCYB.2020.2979694
IEEE Transactions on Cybernetics
Keywords
DocType
Volume
Robust control,Optimal control,Cost function,Trajectory tracking,Nonlinear systems,Feedback control,Dynamical systems
Journal
52
Issue
ISSN
Citations 
1
2168-2267
1
PageRank 
References 
Authors
0.38
0
3
Name
Order
Citations
PageRank
Ding Wang11125.83
Long Cheng2149273.97
Jun Yan311610.71