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Discrete Data-Driven Control of Redundant Manipulators With Adaptive Jacobian Matrix 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2024, 页码: 11
作者:  Liu, Mei;  Hu, Yafei;  Jin, Long
收藏  |  浏览/下载:4/0  |  提交时间:2024/04/07
Manipulators  Mathematical models  Manipulator dynamics  Jacobian matrices  Kalman filters  Task analysis  Kinematics  Discrete data-driven Jacobian matrix adaptive control (DDJMAC)  Kalman filter  model-unknown  neural dynamics  redundant manipulators  
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7209-7220
作者:  Jin, Long;  Zhang, Jiazheng;  Luo, Xin;  Liu, Mei;  Li, Shuai;  Xiao, Lin;  Yang, Zihao
收藏  |  浏览/下载:167/0  |  提交时间:2021/08/20
Manipulators  Optimization  Task analysis  Kinematics  Recurrent neural networks  Distributed control  generalized recurrent neural network (GRNN)  manipulability optimization (MO)  redundancy resolution  kinematic control  
Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 卷号: 64, 期号: 6, 页码: 4710-4720
作者:  Jin, Long;  Li, Shuai;  Hung Manh La;  Luo, Xin
Adobe PDF(903Kb)  |  收藏  |  浏览/下载:3126/2  |  提交时间:2018/03/05
Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution