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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：106/0  |  提交时间：2023/03/20
Adaptive control  impedance learning  iterative learning control  rehabilitation robot  repetitive learning control  robot control  spatial periodicity  
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：262/0  |  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：258/0  |  提交时间：2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
Towards patients’ motion intention recognition: Dynamics modeling and identification of iLeg - an LLRR under motion constraints 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016, 卷号: 46, 期号: 7, 页码: 980-992
作者:  weiqun wang;  Zeng-Guang Hou;  Long Cheng;  Lina Tong;  Liang Peng;  Long Peng;  Min Tan
浏览  |  Adobe PDF(1520Kb)  |  收藏  |  浏览/下载：140/3  |  提交时间：2019/11/07
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
Toward Patients' Motion Intention Recognition: Dynamics Modeling and Identification of iLeg-An LLRR Under Motion Constraints 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2016, 卷号: 46, 期号: 7, 页码: 980-992
作者:  Wang, Weiqun;  Hou, Zeng-Guang;  Cheng, Long;  Tong, Lina;  Peng, Liang;  Peng, Long;  Tan, Min
浏览  |  Adobe PDF(1512Kb)  |  收藏  |  浏览/下载：355/26  |  提交时间：2016/10/20
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
An Active Disturbance Rejection Controller with Hysteresis Compensation for Piezoelectric Actuators 会议论文
2016 12th World Congress on Intelligent Control and Automation, 中国桂林, June 12-15, 2016
作者:  Liu WC(刘伟川);  Cheng L(程龙);  Hou ZG(侯增广);  Tan M(谭民);  long cheng
浏览  |  Adobe PDF(1692Kb)  |  收藏  |  浏览/下载：359/142  |  提交时间：2016/06/22
Hysteresis Adrc Tracking Control  
An Inversion-free Fuzzy Predictive Control for Piezoelectric Actuators 会议论文
中国青岛, 中国青岛, 2015-5-23至2015-5-25
作者:  Liu WC(刘伟川);  Cheng L(程龙);  Wang HM(王洪明);  Hou ZG(侯增广);  Tan M(谭民);  long cheng
浏览  |  Adobe PDF(1256Kb)  |  收藏  |  浏览/下载：363/102  |  提交时间：2016/06/22
Piezoelectric Actuators  Hysteresis  Fuzzy Modeling  Model Predictive Control  
An Inversion-free Model Predictive Control with Error Compensation for Piezoelectric Actuators 会议论文
2015 American Control Conference, Chicago, IL, USA, July 1-3, 2015
作者:  Liu WC(刘伟川);  Cheng L(程龙);  Hou ZG(侯增广);  Tan M(谭民);  long cheng
浏览  |  Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：287/93  |  提交时间：2016/06/22
Hysteresis  Neural Network Modeling  Dynamic Linearization  Model Predictive Control  Piezoelectric Actuators  
Image Information Extraction Based on Spiking Neural Networks 会议论文
The 18th IFAC World Congress, Milano, Italy, August 28 -September 2
作者:  Wang, Xu;  Cao, Zhiqiang;  Cheng, Long;  Zhou, Chao;  Tan, Min;  Hou, Zengguang
浏览  |  Adobe PDF(131Kb)  |  收藏  |  浏览/下载：290/85  |  提交时间：2016/04/12
Neural-Network-Based Nonlinear Model Predictive Control for Piezoelectric Actuators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 卷号: 62, 期号: 12, 页码: 7717-7727
作者:  Cheng, Long;  Liu, Weichuan;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(1541Kb)  |  收藏  |  浏览/下载：797/292  |  提交时间：2016/01/18
Neuralnetworks  Nonlinearautoregressive-moving-average With Exogenous Inputs (Narmax)  Piezoelectric Actuator (Pea)  Predictive Control