Jing Na

Kunming University of Science and Technology, Beijing Institute of Technology, Dalian Medical University, University of Bristol

论文数

48

总引用数

2,409

H-Index

16

关于

暂无简介。

研究焦点

Computer science46 · 2,394 次引用
Artificial intelligence45 · 2,354 次引用
Control theory (sociology)34 · 2,265 次引用
Control (management)29 · 2,029 次引用
Robot31 · 1,783 次引用
Mathematics23 · 1,710 次引用
Nonlinear system16 · 1,574 次引用
Convergence (economics)13 · 1,521 次引用
Adaptive control16 · 1,274 次引用
Algorithm9 · 1,167 次引用
Kinematics11 · 1,123 次引用
Mobile robot11 · 1,007 次引用

主要成就

16
H 指数
48
论文
2,409
总引用数
50
篇均引用
🏆 最高被引论文
Adaptive Parameter Estimation and Control Design for Robot Manipulators With Finite-Time Convergence
462 次引用 · 2018
📈 最高产年份: 2024 (10 论文)
🤝 主要合作者: 81
🏛 所属机构: Kunming University of Science and Technology, Beijing Institute of Technology, Dalian Medical University, University of Bristol

代表论文

  1. 1
    Adaptive Parameter Estimation and Control Design for Robot Manipulators With Finite-Time Convergence
    462 次引用 · 2018
  2. 2
    Robust adaptive finite‐time parameter estimation and control for robotic systems
    387 次引用 · 2014
  3. 3
    Finite-Time Convergence Adaptive Fuzzy Control for Dual-Arm Robot With Unknown Kinematics and Dynamics
    325 次引用 · 2018
  4. 4
    Force Sensorless Admittance Control for Teleoperation of Uncertain Robot Manipulator Using Neural Networks
    166 次引用 · 2019
  5. 5
    Unknown System Dynamics Estimator for Motion Control of Nonlinear Robotic Systems
    153 次引用 · 2019
  6. 6
    Structural parameter identification for 6 DOF industrial robots
    133 次引用 · 2017
  7. 7
    Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion
    128 次引用 · 2020
  8. 8
    Adaptive neural network control for robotic manipulators with guaranteed finite-time convergence
    92 次引用 · 2019
  9. 9
    A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots
    75 次引用 · 2017
  10. 10
    Global adaptive tracking control of robot manipulators using neural networks with finite-time learning convergence
    72 次引用 · 2017

主要合作者

GGGuanbin Gao16 篇合著论文CYChenguang Yang10 篇合著论文FLFei Liu6 篇合著论文XRXuemei Ren6 篇合著论文YHYingbo Huang6 篇合著论文YXYashan Xing5 篇合著论文ZLZhijun Li5 篇合著论文BJBaorui Jing4 篇合著论文FZFaxiang Zhang4 篇合著论文YJYiming Jiang4 篇合著论文GHGuido Herrmann4 篇合著论文YLYingjie Li3 篇合著论文QCQiang Chen3 篇合著论文YGYu Guo3 篇合著论文RYRunxian Yang3 篇合著论文MNMuhammad Nasiruddin Mahyuddin2 篇合著论文HDHao Duan2 篇合著论文CZChao Zhang2 篇合著论文XWXian Wang2 篇合著论文LCLong Cheng2 篇合著论文
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