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Spatial Repetitive Impedance Learning Control for Robot-Assisted Rehabilitation
期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 11
作者:
Yang, Jiantao
;
Sun, Tairen
;
Cheng, Long
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2023/03/20
Adaptive control
impedance learning
iterative learning control
rehabilitation robot
repetitive learning control
robot control
spatial periodicity
Drivable Space of Rehabilitation Robot for Physical Human-Robot Interaction: Definition and an Expanding Method
期刊论文
IEEE TRANSACTIONS ON ROBOTICS, 2022, 页码: 14
作者:
Wang, Weiqun
;
Liang, Xu
;
Liu, Shengda
;
Lin, Tianyu
;
Zhang, Pu
;
Lv, Zhen
;
Wang, Jiaxing
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:180/0
  |  
提交时间:2022/11/14
Assistive robots
Torque
Robot kinematics
Training
Exoskeletons
Biological system modeling
Adaptation models
Adaptive learning
dynamics modeling
physical human-robot interaction (pHRI)
rehabilitation robot
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 页码: 11
作者:
Wang, Chen
;
Peng, Liang
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:179/0
  |  
提交时间:2022/06/10
Robots
Trajectory
Task analysis
Training
Oscillators
Rehabilitation robotics
Real-time systems
Assist as needed (AAN)
motor learning
nonlinear adaptive control
rehabilitation robotics
Self-Learning Robust Control Synthesis and Trajectory Tracking of Uncertain Dynamics
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 278-286
作者:
Wang, Ding
;
Cheng, Long
;
Yan, Jun
收藏
  |  
浏览/下载:205/0
  |  
提交时间:2022/03/17
Robust control
Optimal control
Cost function
Trajectory tracking
Nonlinear systems
Feedback control
Dynamical systems
Adaptive critic learning
control synthesis
neural networks
optimization
robust stabilization
tracking design
An Approximate Neuro-Optimal Solution of Discounted Guaranteed Cost Control Design
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 卷号: 52, 期号: 1, 页码: 77-86
作者:
Wang, Ding
;
Qiao, Junfei
;
Cheng, Long
收藏
  |  
浏览/下载:225/0
  |  
提交时间:2022/03/17
Control design
Cost function
Optimal control
Nonlinear systems
Adaptive systems
Switches
Adaptive learning system
discount factor
guaranteed cost function
neuro-optimal control
uncertainty
A real-time tracking controller for piezoelectric actuators based on reinforcement learning and inverse compensation
期刊论文
SUSTAINABLE CITIES AND SOCIETY, 2021, 卷号: 69, 页码: 9
作者:
Qin, Shijie
;
Cheng, Long
收藏
  |  
浏览/下载:169/0
  |  
提交时间:2021/11/03
Piezoelectric actuators
Real-time tracking control
Reinforcement learning
Adaptive dynamic programming
Hysteresis compensation
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:
Wang, Weiqun
;
Shi, Weiguo
;
Hou, Zeng-Guang
;
Chen, Badong
;
Liang, Xu
;
Ren, Shixin
;
Wang, Jiaxing
;
Peng, Liang
Adobe PDF(13331Kb)
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收藏
  |  
浏览/下载:313/44
  |  
提交时间:2021/04/06
Muscles
Adaptation models
Adaptive learning
Force
Calibration
Hip
Electromyography
Adaptive learning
human–
robot interaction
neuromusculoskeletal modeling
parameter calibration
surface electromyography (sEMG) processing
Estimation of human impedance and motion intention for constrained human-robot interaction
期刊论文
NEUROCOMPUTING, 2020, 卷号: 390, 页码: 268-279
作者:
Yu, Xinbo
;
Li, Yanan
;
Zhang, Shuang
;
Xue, Chengqian
;
Wang, Yu
收藏
  |  
浏览/下载:173/0
  |  
提交时间:2020/06/22
Human motion intention estimation
Impedance learning
Adaptive neural network control
Full-state constraints
Barrier Lyapunov functions
Composite Learning Enhanced Robot Impedance Control
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:
Sun, Tairen
;
Peng, Liang
;
Cheng, Long
;
Hou, Zeng-Guang
;
Pan, Yongping
收藏
  |  
浏览/下载:235/0
  |  
提交时间:2020/06/02
Impedance
Convergence
Robots
Stability criteria
Uncertainty
Parameter estimation
Adaptive control
composite adaptation
impedance control
learning control
parameter convergence
robot
Minimum parameter learning method for an N-link manipulator with nonlinear disturbance observer
期刊论文
International Journal of Robotics and Automation, 2016, 卷号: 31, 期号: 3, 页码: 206-212
作者:
Hongjun Yang
;
Jinkun Liu
收藏
  |  
浏览/下载:95/0
  |  
提交时间:2019/09/23
Minimum Parameter Learning
Adaptive Control
Disturbance Observer
Rbf Neural Networks
N-link Manipulator