What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mechanical engineering
Yangmin Li mostly deals with Control theory, Kinematics, Control engineering, Particle swarm optimization and Workspace.
His research on Control theory often connects related topics like Micromanipulator.
His Kinematics research is multidisciplinary, relying on both Motion control, Statics, Finite element method and Feed forward.
The concepts of his Control engineering study are interwoven with issues in Mobile manipulator, Vibration isolation and Nonholonomic system.
His Particle swarm optimization research integrates issues from Swarm behaviour, Compensation, Motion planning and Mobile robot.
His Workspace study also includes
- Simulation that connect with fields like Robot,
- Hinge together with Active vibration control.
His most cited work include:
- Design and Analysis of a Totally Decoupled Flexure-Based XY Parallel Micromanipulator (290 citations)
- Adaptive Sliding Mode Control With Perturbation Estimation and PID Sliding Surface for Motion Tracking of a Piezo-Driven Micromanipulator (285 citations)
- Kinematic analysis of a 3-PRS parallel manipulator (178 citations)
What are the main themes of his work throughout his whole career to date?
Yangmin Li mainly focuses on Control theory, Kinematics, Control engineering, Parallel manipulator and Actuator.
His Control theory research is multidisciplinary, incorporating elements of Micromanipulator and Robot, Motion control.
His research integrates issues of Workspace, Simulation and Stiffness in his study of Kinematics.
Yangmin Li works mostly in the field of Control engineering, limiting it down to concerns involving Mobile robot and, occasionally, Adaptive control and Motion planning.
The Parallel manipulator study combines topics in areas such as Jacobian matrix and determinant and Virtual work.
His Actuator research is multidisciplinary, incorporating elements of Structural engineering and Finite element method.
He most often published in these fields:
- Control theory (70.07%)
- Kinematics (40.38%)
- Control engineering (29.45%)
What were the highlights of his more recent work (between 2017-2021)?
- Control theory (70.07%)
- Kinematics (40.38%)
- Control theory (16.15%)
In recent papers he was focusing on the following fields of study:
Yangmin Li mainly investigates Control theory, Kinematics, Control theory, Sliding mode control and Mechanism.
His Control theory study frequently draws connections between related disciplines such as Stiffness.
His Kinematics study incorporates themes from Workspace and Kinematics equations.
His work carried out in the field of Control theory brings together such families of science as Mechanical system, Markov chain and Motion control.
His study in the field of Discrete time sliding mode control is also linked to topics like Perturbation.
His research integrates issues of Manipulator and Robot, Motion planning in his study of Mechanism.
Between 2017 and 2021, his most popular works were:
- Development and Repetitive-Compensated PID Control of a Nanopositioning Stage With Large-Stroke and Decoupling Property (35 citations)
- Kinematics, Dynamics, and Control of a Cable-Driven Hyper-Redundant Manipulator (34 citations)
- Analysis of soil‐structural interface behavior using three‐dimensional DEM simulations (25 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mechanical engineering
Yangmin Li spends much of his time researching Control theory, Perturbation, Actuator, Trajectory and Vibration.
The various areas that Yangmin Li examines in his Control theory study include Compliant mechanism, Finite element method, Kinematics and Displacement.
In his research, Torque is intimately related to Stiffness, which falls under the overarching field of Actuator.
His Trajectory research focuses on Linkage and how it connects with Mechanism.
Yangmin Li has researched Vibration in several fields, including Creep and Inverse.
His PID controller research includes elements of Particle swarm optimization, Bode plot, Repetitive control, Workspace and Decoupling.
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