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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:149/0  |  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  
Super-twisting ZNN for coordinated motion control of multiple robot manipulators with external disturbances suppression 期刊论文
NEUROCOMPUTING, 2020, 卷号: 371, 页码: 78-90
作者:  Chen, Dechao;  Li, Shuai;  Wu, Qing;  Luo, Xin
收藏  |  浏览/下载:102/0  |  提交时间:2020/08/24
Coordination motion control  Zeroing neural networks (ZNNs)  Finite-time convergence  Super-twisting  Multiple robot manipulators  
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:291/0  |  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:286/0  |  提交时间:2019/06/26
Dual neural network  kinematic control  redundancy resolution  robotic manipulator  
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:3123/2  |  提交时间:2018/03/05
Dynamic neural network  kinematic control  manipulability optimization  redundancy resolution  
Highly Efficient Framework for Predicting Interactions Between Proteins 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 3, 页码: 731-743
作者:  You, Zhu-Hong;  Zhou, MengChu;  Luo, Xin;  Li, Shuai
Adobe PDF(1407Kb)  |  收藏  |  浏览/下载:218/0  |  提交时间:2018/03/15
Big data  feature extraction  kernel extreme learning machine (K-ELM)  low-rank approximation (LRA)  protein-protein interactions (PPIs)  support vector machine (SVM)