Ning Sun

Nankai University, Shenzhen University, Fujitsu (Japan), Beijing Institute of Technology, Shenzhen Institute of Information Technology

Papers

53

Total Citations

977

H-Index

17

About

No biography available yet.

Research Focus

Computer science53 · 977 citations
Artificial intelligence51 · 961 citations
Control (management)46 · 930 citations
Control theory (sociology)45 · 930 citations
Engineering46 · 789 citations
Control engineering39 · 742 citations
Robot42 · 708 citations
Controller (irrigation)18 · 544 citations
Nonlinear system16 · 511 citations
Actuator24 · 461 citations
Mathematics15 · 396 citations
Artificial muscle15 · 358 citations

Key Achievements

17
H-Index
53
Papers
977
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
New Adaptive Control Methods for $n$-Link Robot Manipulators With Online Gravity Compensation: Design and Experiments
81 citations · 2021
📈 Most Prolific Year: 2024 (11 Papers)
🤝 Key Collaborators: 67
🏛 Institutions: Nankai University, Shenzhen University, Fujitsu (Japan), Beijing Institute of Technology, Shenzhen Institute of Information Technology

Top Papers

  1. 1
    New Adaptive Control Methods for $n$-Link Robot Manipulators With Online Gravity Compensation: Design and Experiments
    81 citations · 2021
  2. 2
    Energy-Based Motion Control for Pneumatic Artificial Muscle Actuated Robots With Experiments
    80 citations · 2021
  3. 3
    Visual servoing of mobile robots for posture stabilization: from theory to experiments
    78 citations · 2013
  4. 4
    Dynamics analysis and time-optimal motion planning for unmanned quadrotor transportation systems
    74 citations · 2018
  5. 5
    Fuzzy-Sliding Mode Control for Humanoid Arm Robots Actuated by Pneumatic Artificial Muscles With Unidirectional Inputs, Saturations, and Dead Zones
    66 citations · 2021
  6. 6
    Adaptive Nonlinear Hierarchical Control for a Rotorcraft Transporting a Cable-Suspended Payload
    63 citations · 2019
  7. 7
    A neuroadaptive control method for pneumatic artificial muscle systems with hardware experiments
    41 citations · 2020
  8. 8
    Reinforcement Learning-Based Prescribed Performance Motion Control of Pneumatic Muscle Actuated Robotic Arms With Measurement Noises
    36 citations · 2022
  9. 9
    Neural network-based adaptive command filtering control for pneumatic artificial muscle robots with input uncertainties
    34 citations · 2021
  10. 10
    Learning-Based Error-Constrained Motion Control for Pneumatic Artificial Muscle-Actuated Exoskeleton Robots With Hardware Experiments
    34 citations · 2021

Key Collaborators

YFYongchun Fang33 shared papersTYTong Yang23 shared papersGLGendi Liu14 shared papersYQYanding Qin10 shared papersQWQingxiang Wu9 shared papersDLDingkun Liang9 shared papersZLZhuoqing Liu8 shared papersSDShuzhen Diao8 shared papersYWYiming Wu8 shared papersXZXinlin Zhang8 shared papersZQZehao Qiu6 shared papersYCYiheng Chen5 shared papersLSLei Sun5 shared papersWSWei Sun4 shared papersHCHe Chen3 shared papersMZMeng Zhai3 shared papersJLJingtai Liu2 shared papersLLLianqing Liu2 shared papersWYWei Yin2 shared papersYMYize Ma2 shared papers
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