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Error-Summation Enhanced Newton Algorithm for Model Predictive Control of Redundant Manipulators 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 卷号: 70, 期号: 3, 页码: 2800-2811
作者:  Zhang, Fan;  Jin, Long;  Luo, Xin
收藏  |  浏览/下载：83/0  |  提交时间：2023/02/07
Error-summation enhanced Newton (ESEN) algorithm  model predictive control (MPC)  noise tolerance  redundant manipulator  trajectory tracking  
Robust k-WTA Network Generation, Analysis, and Applications to Multiagent Coordination 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 13
作者:  Qi, Yimeng;  Jin, Long;  Luo, Xin;  Shi, Yang;  Liu, Mei
收藏  |  浏览/下载：45/0  |  提交时间：2022/08/22
Task analysis  Robustness  Biological neural networks  Resource management  Dynamic scheduling  Convergence  Recurrent neural networks  Consensus filter  k-winner-take-all (k-WTA)  multiagent coordination  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：161/0  |  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  
Obstacle Avoidance and Tracking Control of Redundant Robotic Manipulator: An RNN-Based Metaheuristic Approach 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 7, 页码: 4670-4680
作者:  Khan, Ameer Hamza;  Li, Shuai;  Luo, Xin
收藏  |  浏览/下载：128/0  |  提交时间：2020/08/24
Manipulators  Collision avoidance  Trajectory  Optimization  Task analysis  Kinematics  Metaheuristic optimization  obstacle avoidance  recurrent neural network (RNN)  tracking control  
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin
Adobe PDF(2696Kb)  |  收藏  |  浏览/下载：292/0  |  提交时间：2018/11/01
Dual neural network  kinematic control  redundancy resolution  robotic manipulator  
Modified Primal-Dual Neural Networks for Motion Control of Redundant Manipulators With Dynamic Rejection of Harmonic Noises 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 10, 页码: 4791-4801
作者:  Li, Shuai;  Zhou, MengChu;  Luo, Xin
Adobe PDF(2696Kb)  |  收藏  |  浏览/下载：288/0  |  提交时间：2019/06/26
Dual neural network  kinematic control  redundancy resolution  robotic manipulator  
Velocity-Level Control with Compliance to Acceleration-Level Constraints: A Novel Scheme for Manipulator Redundancy Resolution 期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 3, 页码: 921-930
作者:  Zhang, Yinyan;  Li, Shuai;  Gui, Jie;  Luo, Xin
Adobe PDF(1146Kb)  |  收藏  |  浏览/下载：136/0  |  提交时间：2019/06/26
An inherently nonnegative latent factor model for high-dimensional and sparse matrices from industrial applications 期刊论文
IEEE Transactions on Industrial Informatics, 2018, 卷号: 14, 期号: 5, 页码: 2011-2022
作者:  Luo, Xin;  Zhou, Mengchu;  Li, Shuai;  Shang, Mingsheng
Adobe PDF(805Kb)  |  收藏  |  浏览/下载：415/0  |  提交时间：2019/06/26
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：427/0  |  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  
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：3183/2  |  提交时间：2018/03/05
Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution