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A Fast Online Elastic-Spine-Based Stiffness Adjusting Mechanism for Fishlike Swimming 期刊论文
Soft Robotics, 2024, 页码: Ahead of Print
作者:  Xiaocun Liao;  Chao Zhou;  Long Cheng;  Jian Wang;  Junfeng Fan;  Zhuoliang Zhang
Adobe PDF(880Kb)  |  收藏  |  浏览/下载：159/54  |  提交时间：2024/05/08
Robotic fish  Elastic spine  Variable stiffness  Stiffness adjustment strategy  
A Fusion Measurement Method Based on Kalman Filter with Improved State Block and Neural Network for Nanometer Displacement 会议论文
, Changchun, China, 2018-8-5
作者:  Zhang ZL(张灼亮);  Du ZM(杜章铭);  Deng L(邓露);  Zhou C(周超);  Cao ZQ(曹志强);  Wang S(王硕);  Cheng L(程龙)
Adobe PDF(2237Kb)  |  收藏  |  浏览/下载：95/44  |  提交时间：2023/06/26
multirate fusion  state block  nanometer displacement  
A Fusion Measurement Method for Nano-displacement Based on Kalman Filter and Neural Network 期刊论文
International Journal of Robotics and Automation, 2021, 卷号: 36, 页码: 1-9
作者:  Zhang ZL(张灼亮);  Zhou C(周超);  Du ZM(杜章铭);  Deng L(邓露);  Cao ZQ(曹志强);  Wang S(王硕);  Cheng L(程龙);  Deng S(邓赛)
Adobe PDF(3806Kb)  |  收藏  |  浏览/下载：101/37  |  提交时间：2023/06/26
multi-rate fusion  state block  convolution filtering  nanoscale measurement  
A speed measurement method for underwater robots using an artificial lateral line sensor 期刊论文
Smart Materials and Structures, 2021, 卷号: 31, 期号: 1, 页码: 015011
作者:  Zhang,Zhuoliang;  Zhou,Chao;  Cao,Zhiqiang;  Tan,Min;  Cheng,Long;  Deng,Sai;  Fan,Junfeng
Adobe PDF(1224Kb)  |  收藏  |  浏览/下载：342/40  |  提交时间：2021/12/28
artificial lateral line  speed of underwater robot  hybrid loss function  calibration in noisy environment  flow sensor  
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：258/0  |  提交时间：2021/11/02
Approximate dynamic inversion (ADI)  impedance control  robot control  trajectory tracking  variable impedance  
A Vibration Control Method for Hybrid-Structured Flexible Manipulator Based on Sliding Mode Control and Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 2, 页码: 841-852
作者:  Long, Teng;  Li, En;  Hu, Yunqing;  Yang, Lei;  Fan, Junfeng;  Liang, Zize;  Guo, Rui
收藏  |  浏览/下载：244/0  |  提交时间：2021/03/29
Vibrations  Mathematical model  Manipulator dynamics  Torque  Robustness  Neural networks  Hybrid-structured flexible manipulator  reinforcement learning  sliding mode control  vibration control method  
Preliminary study on Wilcoxon-norm-based robust extreme learning machine 期刊论文
Neurocomputing, 2016, 期号: 198, 页码: 20-26
作者:  Xiaoliang,Xie;  Guinin,Bian;  Zengguang,Hou;  Zhenqiu,Feng;  Jianlong,Hao
浏览  |  Adobe PDF(533Kb)  |  收藏  |  浏览/下载：254/76  |  提交时间：2020/11/05
Extreme learning machine  Wilcoxon neural network  Wilcoxon-norm based robust extreme  learning machine  
Development and Evaluation of a 7-DOF Haptic Interface 期刊论文
IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 2018, 卷号: 5, 期号: 1, 页码: 261-269
作者:  Jianlong,Hao;  Xiaoliang,Xie;  Guibin,Bian;  Zengguang,Hou;  Xiaohu,Zhou
浏览  |  Adobe PDF(3695Kb)  |  收藏  |  浏览/下载：243/69  |  提交时间：2020/11/05
Dynamic modeling  evaluation  haptic interface  impedance control  
Learning impedance control of robots with enhanced transient and steady-state control performances 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 13
作者:  Sun, Tairen;  Cheng, Long;  Peng, Liang;  Hou, Zengguang;  Pan, Yongping
收藏  |  浏览/下载：215/0  |  提交时间：2020/09/07
robot  adaptive control  neural network  impedance control  parameter convergence  
Composite Learning Enhanced Robot Impedance Control 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 1052-1059
作者:  Sun, Tairen;  Peng, Liang;  Cheng, Long;  Hou, Zeng-Guang;  Pan, Yongping
收藏  |  浏览/下载：283/0  |  提交时间：2020/06/02
Impedance  Convergence  Robots  Stability criteria  Uncertainty  Parameter estimation  Adaptive control  composite adaptation  impedance control  learning control  parameter convergence  robot