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Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System
Journal article
Chen, Liheng, Xu, Qingsong. Reinforcement Learning-Based Adaptive Control of a Piezo-Driven Nanopositioning System[J]. IEEE Open Journal of the Industrial Electronics Society, 2024, 5, 28-40.
Authors:
Chen, Liheng
;
Xu, Qingsong
Favorite
|
TC[WOS]:
0
TC[Scopus]:
0
|
Submit date:2024/05/16
Motion Control
Nanopositioning
Piezoelectric Actuator
Reinforcement Learning (Rl) Adaptive Control
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning
Journal article
Peng, Guangzhu, Chen, C. L.P., Yang, Chenguang. Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(9), 4551-4561.
Authors:
Peng, Guangzhu
;
Chen, C. L.P.
;
Yang, Chenguang
Favorite
|
TC[WOS]:
47
TC[Scopus]:
54
IF:
10.2
/
10.4
|
Submit date:2022/05/13
Adaptive Control
Admittance Control
Neural Networks (Nns)
Reinforcement Learning (Rl)
Robot-environment Interaction
Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems
Journal article
Liu Y.-J., Tang L., Tong S., Chen C.L.P., Li D.-J.. Reinforcement learning design-based adaptive tracking control with less learning parameters for nonlinear discrete-time MIMO systems[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(1), 165.
Authors:
Liu Y.-J.
;
Tang L.
;
Tong S.
;
Chen C.L.P.
;
Li D.-J.
Favorite
|
TC[WOS]:
202
TC[Scopus]:
216
|
Submit date:2018/10/30
Adaptive Control
Discrete-time Systems
Online Approximators
Reinforcement Learning (Rl)
Uncertain Nonlinear Systems.