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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:50/0  |  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)  
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:169/0  |  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  
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 550, 页码: 239-251
作者:  Wang, Guancheng;  Huang, Haoen;  Shi, Limei;  Wang, Chuhong;  Fu, Dongyang;  Jin, Long;  Xiao Xiuchun
收藏  |  浏览/下载:106/0  |  提交时间:2021/03/01
Time-varying Lyapunov equation  Newton-Raphson iteration  Noise suppressing  Robotic tracking problems