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Barrier-Based Adaptive Line-of-Sight 3-D Path-Following System for a Multijoint Robotic Fish With Sideslip Compensation 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 14
作者:  Dai, Shijie;  Wu, Zhengxing;  Wang, Jian;  Tan, Min;  Yu, Junzhi
Adobe PDF(4440Kb)  |  收藏  |  浏览/下载:373/45  |  提交时间:2022/06/10
Robots  Robot kinematics  Adaptive systems  Navigation  Solid modeling  Force  Complex systems  3-D path-following  adaptive line-of-sight (LOS)  guidance and control  robotic fish  time-varying sideslip angle  
Disturbance Rejection Control for Underwater Free-Floating Manipulation 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 卷号: 27, 期号: 5, 页码: 3742 - 3750
作者:  Lv, Jiaqi;  Wang, Yu;  Tang, Chong;  Wang, Shuo;  Xu, Wenxing;  Wang, Rui;  Tan, Min
Adobe PDF(10105Kb)  |  收藏  |  浏览/下载:332/35  |  提交时间:2022/01/27
Disturbance observer-based control (DOBC)  fast arctangent nonsingularity terminal sliding mode controller (FANTSMC)  underwater biomimetic vehicle-manipulator system (UBVMS)  underwater manipulation  Estimation  
Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
作者:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  收藏  |  浏览/下载:333/65  |  提交时间:2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis  
Prediction-Based Seabed Terrain Following Control for an Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 51, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Cheng, Long;  Tan, Min
Adobe PDF(2339Kb)  |  收藏  |  浏览/下载:267/70  |  提交时间:2020/05/07
Seabed Terrain Following Control (STFC)  Seabed Terrain Prediction  Underwater Vehicle Control  UVMS