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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  
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:3128/2  |  提交时间:2018/03/05
Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution