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New Disturbance Rejection Constraint for Redundant Robot Manipulators: An Optimization Perspective 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 4, 页码: 2221-2232
作者:  Chen, Dechao;  Li, Shuai;  Wu, Qing;  Luo, Xin
收藏  |  浏览/下载:150/0  |  提交时间:2020/02/18
Manipulators  Optimization  Three-dimensional displays  Robustness  Neural networks  Task analysis  Dynamical quadratic programming (DQP)  hybrid multiple objectives  robustness  redundant robot manipulators  time-varying disturbances  
RNN for Solving Perturbed Time-Varying Underdetermined Linear System With Double Bound Limits on Residual Errors and State Variables 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 卷号: 15, 期号: 11, 页码: 5931-5942
作者:  Lu, Huiyan;  Jin, Long;  Luo, Xin;  Liao, Bolin;  Guo, Dongsheng;  Xiao, Lin
收藏  |  浏览/下载:100/0  |  提交时间:2020/08/24
Mathematical model  Time-varying systems  Linear systems  Informatics  Robots  Recurrent neural networks  Double bound limits  recurrent neural network  simulation results  theoretical analyses  time-varying underdetermined linear system  
Symmetric and Nonnegative Latent Factor Models for Undirected, High-Dimensional, and Sparse Networks in Industrial Applications 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 卷号: 13, 期号: 6, 页码: 3098-3107
作者:  Luo, Xin;  Sun, Jianpei;  Wang, Zidong;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(803Kb)  |  收藏  |  浏览/下载:428/0  |  提交时间:2018/03/05
Big data application  high-dimensional, and sparse (SHiDS) matrix  nonnegative latent factor (NLF) model  symmetry  undirected HiDS network