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A neural network-based model predictive controller for displacement tracking of piezoelectric actuator with feedback delays 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 6, 页码: 11
作者:  Du, Zhangming;  Zhou, Chao;  Cao, Zhiqiang;  Wang, Shuo;  Cheng, Long;  Tan, Min
Adobe PDF(662Kb)  |  收藏  |  浏览/下载：345/68  |  提交时间：2021/12/28
Piezoelectric actuator  neural network  displacement tracking  model predictive control  
Adaptive Takagi-Sugeno fuzzy model and model predictive control of pneumatic artificial muscles 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2021, 页码: 9
作者:  Xia XiuZe;  Cheng Long
收藏  |  浏览/下载：220/0  |  提交时间：2021/11/03
pneumatic artificial muscles  adaptive T-S fuzzy model  LSTM neural network model  model predictive control  
Stability-Guaranteed Variable Impedance Control of Robots Based on Approximate Dynamic Inversion 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 7, 页码: 4193-4200
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载：245/0  |  提交时间：2021/11/02
Approximate dynamic inversion (ADI)  impedance control  robot control  trajectory tracking  variable impedance  
Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 12
作者:  Sun, Tairen;  Cheng, Long;  Hou, Zengguang;  Tan, Min
收藏  |  浏览/下载：245/0  |  提交时间：2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
Active Disturbance Rejection Control for a Fluid-Driven Hand Rehabilitation Device 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2021, 卷号: 26, 期号: 2, 页码: 841-853
作者:  Li, Houcheng;  Cheng, Long;  Li, Zhengwei;  Xue, Wenchao
Adobe PDF(3069Kb)  |  收藏  |  浏览/下载：294/48  |  提交时间：2021/06/07
Actuators  Exoskeletons  Performance evaluation  Training  IEEE transactions  Mechatronics  Active disturbance rejection control  extended state observer  extension motion  hand rehabilitation  parameter selection  transient  steady-state performance