What is he best known for?
The fields of study he is best known for:
- Gene
- Artificial intelligence
- Control theory
His primary areas of study are Control theory, Rigid body, Attitude control, Position and Control system.
His work in the fields of Control theory, such as Quaternion and Control theory, intersects with other areas such as Euclidean group.
His Rigid body research includes elements of Rotation group SO and Variational integrator.
His Attitude control research includes themes of Angular velocity and Applied mathematics.
His Position course of study focuses on Nonlinear system and Degrees of freedom, Hybrid system and Configuration space.
His Control system research is multidisciplinary, incorporating elements of Gravitational singularity, Tracking and Exponential stability.
His most cited work include:
- Geometric tracking control of a quadrotor UAV on SE(3) (564 citations)
- Genome sequence of mungbean and insights into evolution within Vigna species (228 citations)
- Nonlinear Adaptive Flight Control Using Backstepping and Neural Networks Controller (215 citations)
What are the main themes of his work throughout his whole career to date?
Taeyoung Lee focuses on Control theory, Rigid body, Control system, Variational integrator and Attitude control.
His study on Control theory is mostly dedicated to connecting different topics, such as Position.
His work deals with themes such as Applied mathematics, Rotation group SO, Equations of motion and Angular velocity, which intersect with Rigid body.
The concepts of his Control system study are interwoven with issues in Control, Tracking, Vehicle dynamics and Trajectory.
Taeyoung Lee interconnects Lie group, Mathematical analysis, Classical mechanics and Optimal control in the investigation of issues within Variational integrator.
His Attitude control research is multidisciplinary, incorporating perspectives in Robust control and Robustness.
He most often published in these fields:
- Control theory (47.70%)
- Rigid body (29.71%)
- Control system (20.08%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (47.70%)
- Applied mathematics (10.88%)
- Rotation group SO (12.97%)
In recent papers he was focusing on the following fields of study:
Taeyoung Lee mainly investigates Control theory, Applied mathematics, Rotation group SO, Control system and Orthogonal group.
His Control theory study combines topics from a wide range of disciplines, such as Smoothing and Thrust.
His research in Rotation group SO tackles topics such as Matrix which are related to areas like Mathematical analysis, Order and Fisher distribution.
The study incorporates disciplines such as Multibody system, Control theory, Trajectory and Stability in addition to Control system.
His research integrates issues of Artificial neural network, Universal approximation theorem and Position in his study of Control theory.
His study in Orthogonal group is interdisciplinary in nature, drawing from both Lyapunov stability, Linearization, Exponential stability, Lyapunov function and Observer.
Between 2018 and 2021, his most popular works were:
- Genome sequence of Jatropha curcas L., a non‐edible biodiesel plant, provides a resource to improve seed‐related traits (21 citations)
- Mathematical modeling and control for cancer treatment with cold atmospheric plasma jet (9 citations)
- Scaling bioinspired mars flight vehicles for hover (5 citations)
In his most recent research, the most cited papers focused on:
- Gene
- Artificial intelligence
- Control theory
Taeyoung Lee mainly focuses on Control theory, Control system, Stability, Atmospheric-pressure plasma and Model predictive control.
His Control theory research incorporates themes from Thrust and Three-body problem.
The various areas that Taeyoung Lee examines in his Control system study include Control theory and Adaptive control.
His Control theory research includes themes of Artificial neural network, Universal approximation theorem, Bounded function and Position.
His studies deal with areas such as Motion, Computer simulation and Orthogonal group as well as Stability.
His Model predictive control study combines topics in areas such as Electronic engineering, Signal and Resonator.
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.
