CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共5条,第1-5条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
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:92/0  |  提交时间:2023/03/20
Adaptive control  impedance learning  iterative learning control  rehabilitation robot  repetitive learning control  robot control  spatial periodicity  
A neural network based framework for variable impedance skills learning from demonstrations 期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2023, 卷号: 160, 页码: 10
作者:  Zhang, Yu;  Cheng, Long;  Cao, Ran;  Li, Houcheng;  Yang, Chenguang
Adobe PDF(3824Kb)  |  收藏  |  浏览/下载:372/66  |  提交时间:2023/02/22
Variable impedance skill  Learning from demonstrations  Skills learning  Human-robot interaction  
A Rapid Spiking Neural Network Approach With an Application on Hand Gesture Recognition 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2021, 卷号: 13, 期号: 1, 页码: 151-161
作者:  Cheng, Long;  Liu, Yang;  Hou, Zeng-Guang;  Tan, Min;  Du, Dajun;  Fei, Minrui
收藏  |  浏览/下载:240/0  |  提交时间:2021/04/27
Forward propagation  hand gesture recognition  spiking neural networks (SNNs)  surface electromyography  
An Adaptive Fuzzy Predictive Controller with Hysteresis Compensation for Piezoelectric Actuators 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 12
作者:  Wang, Ang;  Cheng, Long;  Yang, Chenguang;  Hou, Zeng-Guang
收藏  |  浏览/下载:189/0  |  提交时间:2020/06/22
Adaptive fuzzy model  Feedforward-feedback control  Hysteresis compensation  Model predictive control (MPC)  Piezoelectric actuators (PEAs)  
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:309/53  |  提交时间:2016/03/19
Multi-agent System  Mean Square Consensus  Communication Noise  Noise-attenuation Gain  Convergence Rate