D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Electronics and Electrical Engineering D-index 38 Citations 4,741 124 World Ranking 3170 National Ranking 420

Overview

What is he best known for?

The fields of study he is best known for:

  • Control theory
  • Artificial intelligence
  • Control engineering

Control theory, Underactuation, Control engineering, Nonlinear system and Lyapunov function are his primary areas of study. His Robustness, Control system and Equilibrium point study, which is part of a larger body of work in Control theory, is frequently linked to Payload and Overhead, bridging the gap between disciplines. His Robustness study combines topics from a wide range of disciplines, such as Control and State variable.

His research in Equilibrium point intersects with topics in Exponential stability, Robot end effector, Nonlinear control law and Motion control. In his study, Ning Sun carries out multidisciplinary Control engineering and Swing research. As a member of one scientific family, he mostly works in the field of Nonlinear system, focusing on Control theory and, on occasion, Linearization.

His most cited work include:

  • New Energy Analytical Results for the Regulation of Underactuated Overhead Cranes: An End-Effector Motion-Based Approach (148 citations)
  • A Novel Kinematic Coupling-Based Trajectory Planning Method for Overhead Cranes (135 citations)
  • Amplitude-Saturated Nonlinear Output Feedback Antiswing Control for Underactuated Cranes With Double-Pendulum Cargo Dynamics (134 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Control theory, Underactuation, Nonlinear system, Lyapunov function and Control engineering. Many of his research projects under Control theory are closely connected to Swing and Payload with Swing and Payload, tying the diverse disciplines of science together. In his work, Small-gain theorem is strongly intertwined with Nonlinear control, which is a subfield of Underactuation.

The study incorporates disciplines such as Full state feedback, Computer hardware, Actuator and Compensation in addition to Nonlinear system. His studies examine the connections between Lyapunov function and genetics, as well as such issues in Exponential stability, with regards to Motion controller. The Control engineering study combines topics in areas such as Control system and Overhead crane.

He most often published in these fields:

  • Control theory (86.61%)
  • Underactuation (59.82%)
  • Nonlinear system (41.07%)

What were the highlights of his more recent work (between 2019-2021)?

  • Control theory (86.61%)
  • Nonlinear system (41.07%)
  • Equilibrium point (32.14%)

In recent papers he was focusing on the following fields of study:

Control theory, Nonlinear system, Equilibrium point, Underactuation and Robustness are his primary areas of study. His Control theory study focuses mostly on Lyapunov function, Linearization, Exponential stability, Adaptive control and Nonlinear control. His research in Lyapunov function tackles topics such as Control theory which are related to areas like Rope.

The various areas that he examines in his Equilibrium point study include Fuzzy control system and Stability theory. His work often combines Underactuation and Swing studies. His work deals with themes such as System dynamics, Actuator and Dead zone, which intersect with Robustness.

Between 2019 and 2021, his most popular works were:

  • Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones (106 citations)
  • Nonlinear Control of Underactuated Systems Subject to Both Actuated and Unactuated State Constraints With Experimental Verification (68 citations)
  • Adaptive Control for Pneumatic Artificial Muscle Systems With Parametric Uncertainties and Unidirectional Input Constraints (57 citations)

In his most recent research, the most cited papers focused on:

  • Control theory
  • Artificial intelligence
  • Algorithm

Ning Sun mostly deals with Control theory, Robustness, Underactuation, State variable and Adaptive control. His study in Nonlinear control, Lyapunov function, Nonlinear system, Actuator and Control theory falls within the category of Control theory. While working in this field, he studies both Lyapunov function and Payload.

His Output feedback study in the realm of Nonlinear system connects with subjects such as Moment of inertia, Swing and Hoist. His studies in State variable integrate themes in fields like Control system, State, Gravity compensation and Double pendulum. His Adaptive control research is multidisciplinary, relying on both Stability theory, Equilibrium point and Dead zone.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Neural Network-Based Adaptive Antiswing Control of an Underactuated Ship-Mounted Crane With Roll Motions and Input Dead Zones

Tong Yang;Ning Sun;He Chen;Yongchun Fang.
IEEE Transactions on Neural Networks (2020)

208 Citations

A Novel Kinematic Coupling-Based Trajectory Planning Method for Overhead Cranes

Ning Sun;Yongchun Fang;Yudong Zhang;Bojun Ma.
IEEE-ASME Transactions on Mechatronics (2012)

192 Citations

Amplitude-Saturated Nonlinear Output Feedback Antiswing Control for Underactuated Cranes With Double-Pendulum Cargo Dynamics

Ning Sun;Yongchun Fang;He Chen;Biao Lu.
IEEE Transactions on Industrial Electronics (2017)

188 Citations

New Energy Analytical Results for the Regulation of Underactuated Overhead Cranes: An End-Effector Motion-Based Approach

Ning Sun;Yongchun Fang.
IEEE Transactions on Industrial Electronics (2012)

181 Citations

Transportation Control of Double-Pendulum Cranes With a Nonlinear Quasi-PID Scheme: Design and Experiments

Ning Sun;Tong Yang;Yongchun Fang;Yiming Wu.
IEEE Transactions on Systems, Man, and Cybernetics (2019)

173 Citations

Energy coupling output feedback control of 4-DOF underactuated cranes with saturated inputs

Ning Sun;Yongchun Fang;Xuebo Zhang.
Automatica (2013)

167 Citations

Nonlinear Control of Underactuated Systems Subject to Both Actuated and Unactuated State Constraints With Experimental Verification

He Chen;Ning Sun.
IEEE Transactions on Industrial Electronics (2020)

156 Citations

Nonlinear Antiswing Control for Crane Systems With Double-Pendulum Swing Effects and Uncertain Parameters: Design and Experiments

Ning Sun;Yiming Wu;Yongchun Fang;He Chen.
IEEE Transactions on Automation Science and Engineering (2018)

143 Citations

Dynamics Analysis and Nonlinear Control of an Offshore Boom Crane

Yongchun Fang;Pengcheng Wang;Ning Sun;Yichun Zhang.
IEEE Transactions on Industrial Electronics (2014)

139 Citations

Nonlinear Stabilizing Control for Ship-Mounted Cranes With Ship Roll and Heave Movements: Design, Analysis, and Experiments

Ning Sun;Yongchun Fang;He Chen;Yiming Fu.
IEEE Transactions on Systems, Man, and Cybernetics (2018)

126 Citations

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