CASIA OpenIR

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Bionic Underwater Vehicle: A Data-Driven Disturbance Rejection Control Framework 期刊论文
IEEE ROBOTICS & AUTOMATION MAGAZINE, 2023, 卷号: 31, 期号: 1, 页码: 18-28
作者:  Wang, Kaihui;  Zou, Wei;  Ma, Ruichen;  Lv, Jiaqi;  Su, Hu;  Wang, Yu;  Ma, Hongxuan
Adobe PDF(2970Kb)  |  收藏  |  浏览/下载:88/12  |  提交时间:2024/02/22
Vehicle dynamics  Robots  Propulsion  Predictive models  Biological system modeling  Robustness  Disturbance observers  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载:76/9  |  提交时间:2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
Relentless False Data Injection Attacks Against Kalman-Filter-Based Detection in Smart Grid 期刊论文
IEEE Transactions on Control of Network Systems, 2022, 卷号: 9, 期号: 3, 页码: 1238-1250
作者:  Liu, Yifa;  Cheng, Long
Adobe PDF(792Kb)  |  收藏  |  浏览/下载:223/38  |  提交时间:2022/11/14
Attack sequence  false data injection  Kalman filter  smart grid security  state estimation  
Development of a High-Speed Swimming Robot With the Capability of Fish-Like Leaping 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 页码: 11
作者:  Chen, Di;  Wu, Zhengxing;  Meng, Yan;  Tan, Min;  Yu, Junzhi
Adobe PDF(3155Kb)  |  收藏  |  浏览/下载:334/70  |  提交时间:2022/02/16
Robots  Oscillators  Sports  Propulsion  Springs  Shafts  Mechatronics  Bioinspired robotic fish  compliant joint  dynamic modeling  high-frequency propulsion  high swimming performance  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载:345/80  |  提交时间:2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation