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Neural Control of Robot Manipulators With Trajectory Tracking Constraints and Input Saturation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 9, 页码: 4231-4242
作者:  Yang, Chenguang;  Huang, Dianye;  He, Wei;  Cheng, Long
收藏  |  浏览/下载：262/0  |  提交时间：2021/11/03
Manipulators  Lyapunov methods  Robot kinematics  Trajectory tracking  Automation  Barrier Lyapunov function (BLF)  constrained control  input saturation  robot manipulator  
Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 3282-3292
作者:  Yang, Chenguang;  Peng, Guangzhu;  Cheng, Long;  Na, Jing;  Li, Zhijun
收藏  |  浏览/下载：280/0  |  提交时间：2021/05/31
Robot sensing systems  Force  Robot kinematics  Artificial neural networks  Admittance  Torque  Admittance control  error transformation  force observer  Kinect  neural adaptive control  neural networks (NNs)  robot  
Asymmetric Bounded Neural Control for an Uncertain Robot by State Feedback and Output Feedback 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 3, 页码: 1735-1746
作者:  Kong, Linghuan;  He, Wei;  Dong, Yiting;  Cheng, Long;  Yang, Chenguang;  Li, Zhijun
收藏  |  浏览/下载：208/0  |  提交时间：2021/03/29
Neural networks  Adaptive systems  Nonlinear systems  Manipulator dynamics  Uncertainty  adaptive control  asymmetrically bounded inputs  neural networks  robotic manipulator  
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：284/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
Fugl-Meyer hand motor imagination recognition for brain-computer interfaces using only fNIRS 期刊论文
COMPLEX & INTELLIGENT SYSTEMS, 2021, 页码: 11
作者:  Li, Chenguang;  Yang, Hongjun;  Cheng, Long
Adobe PDF(1767Kb)  |  收藏  |  浏览/下载：274/46  |  提交时间：2021/03/01
Brain-computer interface  Functional near-infrared spectroscopy (fNIRS)  Motor imagery  Classification  Empirical mode decomposition  
An Automatic Rehabilitation Assessment System for Hand Function Based on Leap Motion and Ensemble Learning 期刊论文
CYBERNETICS AND SYSTEMS, 2020, 页码: 23
作者:  Li, Chenguang;  Cheng, Long;  Yang, Hongjun;  Zou, Yongxiang;  Huang, Fubiao
Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：321/45  |  提交时间：2021/01/07
Automatic assessment  Brunnstrom assessment  ensemble learning  Fugl-Meyer assessment  hand function assessment  rehabilitation  Leap Motion  
Composite Learning Enhanced Neural Control for Robot Manipulator With Output Error Constraints 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2021, 卷号: 17, 期号: 1, 页码: 209-218
作者:  Huang, Dianye;  Yang, Chenguang;  Pan, Yongping;  Cheng, Long
收藏  |  浏览/下载：210/0  |  提交时间：2021/01/06
Manipulator dynamics  Uncertainty  Informatics  Service robots  Lyapunov methods  Barrier Lyapunov function (BLF)  composite learning (CL)  output error constraints  radial basis function neural network  robot manipulators  
Grasping Marine Products With Hybrid-Driven Underwater Vehicle-Manipulator System 期刊论文
IEEE Transactions on Automation Science and Engineering, 2020, 卷号: 17, 期号: 无, 页码: 无
作者:  Cai, Mingxue;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Ren, Yong;  Tan, Min
浏览  |  Adobe PDF(5519Kb)  |  收藏  |  浏览/下载：359/116  |  提交时间：2020/05/07
Hybrid-driven Underwater Vehicle-manipulator System (Hd-uvms)  Robot Control System  Underwater Manipulation  
Neural Networks Enhanced Adaptive Admittance Control of Optimized Robot-Environment Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 7, 页码: 2568-2579
作者:  Yang, Chenguang;  Peng, Guangzhu;  Li, Yanan;  Cui, Rongxin;  Cheng, Long;  Li, Zhijun
收藏  |  浏览/下载：306/0  |  提交时间：2019/07/11
Admittance control  neural networks (NNs)  observer  optimal adaptive control  robot-environment interaction