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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:168/0  |  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  
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 12
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载:47/0  |  提交时间:2022/08/22
Computational modeling  Mathematical model  Neural networks  Control theory  Analytical models  Real-time systems  Numerical models  Control-theoretical techniques  perturbed nonstationary quadratic program (QP)  recurrent neural dynamics  robustness theoretical analysis  
A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators 期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2021, 卷号: 29, 期号: 1, 页码: 53-63
作者:  Xie, Zhengtai;  Jin, Long;  Luo, Xin;  Li, Shuai;  Xiao, Xiuchun
收藏  |  浏览/下载:160/0  |  提交时间:2021/03/01
Manipulator dynamics  Kinematics  Task analysis  Jacobian matrices  Neural networks  Redundancy  Cyclic-motion generation (CMG)  data driven  dynamic neural network (DNN)  learning and control  redundant manipulator