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Data-Driven Motion-Force Control Scheme for Redundant Manipulators: A Kinematic Perspective 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 8, 页码: 5338-5347
作者:  Fan, Jialiang;  Jin, Long;  Xie, Zhengtai;  Li, Shuai;  Zheng, Yu
收藏  |  浏览/下载：61/0  |  提交时间：2022/08/22
Manipulators  Kinematics  End effectors  Force  Jacobian matrices  Robots  Force control  Data driven  kinematic control  motion-force control  recurrent neural network (RNN)  redundant manipulators  
Mid- to Long-Term Runoff Prediction Based on Deep Learning at Different Time Scales in the Upper Yangtze River Basin 期刊论文
WATER, 2022, 卷号: 14, 期号: 11, 页码: 21
作者:  Ren, Yuanxin;  Zeng, Sidong;  Liu, Jianwei;  Tang, Zhengyang;  Hua, Xiaojun;  Li, Zhenghao;  Song, Jinxi;  Xia, Jun
收藏  |  浏览/下载：87/0  |  提交时间：2022/08/22
mid- to long-term runoff prediction  deep learning models  time lag  lead time  
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 615-628
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Sun, Zhongbo;  Liu, Mei
收藏  |  浏览/下载：49/0  |  提交时间：2022/08/22
Manipulators  Kinematics  Recurrent neural networks  Task analysis  Redundancy  Error elimination  gradient descent method  orthogonal projection method  recurrent neural network (RNN)  redundant manipulators  repetitive motion generation (RMG)  
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 卷号: 33, 期号: 2, 页码: 587-599
作者:  Shi, Yang;  Jin, Long;  Li, Shuai;  Li, Jian;  Qiang, Jipeng;  Gerontitis, Dimitrios K.
收藏  |  浏览/下载：69/0  |  提交时间：2022/08/22
Mathematical model  Linear matrix inequalities  Numerical models  Computational modeling  Recurrent neural networks  Analytical models  Manipulators  Convergence  discrete-form time-variant multi-augmented Sylvester matrix problems  discrete-time recurrent neural networks (RNNs)  discretization formula  robot manipulator application  
RNN for Receding Horizon Control of Redundant Robot Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2022, 卷号: 69, 期号: 2, 页码: 1608-1619
作者:  Yan, Jingkun;  Jin, Long;  Yuan, Zhanting;  Liu, Zhiyi
收藏  |  浏览/下载：152/0  |  提交时间：2021/12/23
Manipulators  Optimization  Acceleration  Recurrent neural networks  Mathematical model  Trajectory tracking  Trajectory  Joint limits  receding horizon control (RHC)  recurrent neural network (RNN)  redundant manipulator  trajectory tracking