What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Computer vision
Yongchun Fang focuses on Control theory, Underactuation, Control engineering, Nonlinear system and Lyapunov function.
Many of his studies on Control theory involve topics that are commonly interrelated, such as Payload.
His research on Underactuation often connects related areas such as Overhead crane.
His Control engineering research includes elements of Exponential stability, Trajectory, Residual and Swing.
His study in Nonlinear system is interdisciplinary in nature, drawing from both Mechatronics, PID controller and Actuator.
In Lyapunov function, Yongchun Fang works on issues like Motion control, which are connected to Motion estimation, Onboard camera and Homography.
His most cited work include:
- Nonlinear coupling control laws for an underactuated overhead crane system (267 citations)
- Tracking and regulation control of an underactuated surface vessel with nonintegrable dynamics (176 citations)
- A Motion Planning-Based Adaptive Control Method for an Underactuated Crane System (163 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Control theory, Underactuation, Nonlinear system and Lyapunov function.
The concepts of his Control theory study are interwoven with issues in Control engineering and Swing.
His Control theory research is multidisciplinary, incorporating perspectives in Control system, Mobile robot, Computer vision, Artificial intelligence and Visual servoing.
His Underactuation research integrates issues from Nonlinear control, Linearization and Overhead crane.
In the field of Nonlinear system, his study on Exponential stability overlaps with subjects such as Boom.
His Lyapunov function study combines topics in areas such as Stability, Motion control, Payload and Backstepping.
He most often published in these fields:
- Control theory (68.89%)
- Control theory (33.70%)
- Underactuation (31.11%)
What were the highlights of his more recent work (between 2019-2021)?
- Control theory (68.89%)
- Nonlinear system (31.11%)
- Lyapunov function (30.00%)
In recent papers he was focusing on the following fields of study:
Yongchun Fang mainly focuses on Control theory, Nonlinear system, Lyapunov function, Control theory and Underactuation.
His Nonlinear system research incorporates elements of Tracking, Trajectory, Swing and System dynamics.
His Swing study incorporates themes from Control engineering, Dual and Overhead crane.
His Lyapunov function study integrates concerns from other disciplines, such as Nonlinear control, Dynamical systems theory, Rope, Payload and Optimal control.
His Control theory research includes themes of Control system, Quaternion, Visual servoing and Degrees of freedom.
His studies examine the connections between Underactuation and genetics, as well as such issues in State variable, with regards to Sliding mode control.
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)
- Adaptive Control for Pneumatic Artificial Muscle Systems With Parametric Uncertainties and Unidirectional Input Constraints (57 citations)
- Nonlinear Motion Control of Complicated Dual Rotary Crane Systems Without Velocity Feedback: Design, Analysis, and Hardware Experiments (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Computer vision
His main research concerns Control theory, Nonlinear system, Lyapunov function, Control theory and Robustness.
Many of his research projects under Control theory are closely connected to Piecewise with Piecewise, tying the diverse disciplines of science together.
When carried out as part of a general Nonlinear system research project, his work on Equilibrium point is frequently linked to work in Compensation methods and Hermitian matrix, therefore connecting diverse disciplines of study.
His Lyapunov function study which covers Payload that intersects with Motion control, Computer hardware, Nonlinear control, Linearization and State observer.
His study in Control theory is interdisciplinary in nature, drawing from both Control system, Quaternion and Loop, Inner loop.
As a part of the same scientific family, Yongchun Fang mostly works in the field of Robustness, focusing on Actuator and, on occasion, Observer and Workspace.
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