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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：139/3  |  提交时间：2019/11/07
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
无权访问的条目 会议论文
作者:  Zhou Xiao-Hu;  Bian Gui-Bin;  Xie Xiao-Liang;  Hou Zeng-Guang;  Hao Jian-Long
Adobe PDF(1051Kb)  |  收藏  |  浏览/下载：36/13  |  提交时间：2019/04/24
iLeg- A Lower Limb Rehabilitation Robot: A Proof of Concept 期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 卷号: 46, 期号: 5, 页码: 761-768
作者:  Zhang, Feng;  Hou, Zeng-Guang;  Cheng, Long;  Wang, Weiqun;  Chen, Yixiong;  Hu, Jin;  Peng, Liang;  Wang, Hongbo;  Zeng-Guang Hou
浏览  |  Adobe PDF(1195Kb)  |  收藏  |  浏览/下载：617/231  |  提交时间：2016/10/27
Active Training  Electromyography (Emg)  Rehabilitation Robot  Spinal Cord Injury (Sci)  
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：352/26  |  提交时间：2016/10/20
Friction Model  Lower Limb Rehabilitation Robot (Llrr)  Motion Intention Recognition  Optimization Of Exciting Trajectories  Recursive Optimization  
Optimal Formation of Multirobot Systems Based on a Recurrent Neural Network 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2016, 卷号: 27, 期号: 2, 页码: 322-333
作者:  Wang, Yunpeng;  Cheng, Long;  Hou, ZengGuang;  Yu, Junzhi;  Tan, Min
浏览  |  Adobe PDF(2069Kb)  |  收藏  |  浏览/下载：391/102  |  提交时间：2016/06/14
Combinational Optimization Problem  Multirobot System  Optimal Formation  Recurrent Neural Network  Shape Theory  
Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate 期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2016, 卷号: 59, 期号: 1, 页码: 45-54
作者:  Wang YunPeng;  Cheng Long;  Yang ChenGuang;  Hou ZengGuang;  Tan Min
浏览  |  Adobe PDF(995Kb)  |  收藏  |  浏览/下载：318/56  |  提交时间：2016/03/19
Multi-agent System  Mean Square Consensus  Communication Noise  Noise-attenuation Gain  Convergence Rate