What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
Liu Hsu mostly deals with Control theory, Adaptive control, Nonlinear system, Control theory and Variable structure control.
Lyapunov function, Exponential stability, Robustness, Multivariable calculus and Nonlinear control are the core of his Control theory study.
Liu Hsu has researched Multivariable calculus in several fields, including Matrix and Immersion.
His Adaptive control research incorporates elements of Visual servoing, Variable structure system, Diagonal matrix and Reference model.
His Nonlinear system research is multidisciplinary, incorporating perspectives in Estimation theory, Noise reduction, Artificial intelligence and Differentiator.
Liu Hsu works mostly in the field of Variable structure control, limiting it down to topics relating to Function and, in certain cases, Sign, Tracking error, Finite set and Robust control.
His most cited work include:
- A globally convergent frequency estimator (296 citations)
- LMI characterization of structural and robust stability (174 citations)
- Variable structure model reference adaptive control using only input and output measurements (164 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Control theory, Adaptive control, Sliding mode control, Nonlinear system and Control theory.
His study brings together the fields of Control engineering and Control theory.
His Adaptive control research includes elements of Lyapunov function, Robust control, Robot, Visual servoing and Adaptive system.
Liu Hsu works mostly in the field of Sliding mode control, limiting it down to concerns involving Output feedback and, occasionally, Uncertain systems.
His research integrates issues of Norm, Mathematical optimization and Applied mathematics in his study of Nonlinear system.
His studies in Control theory integrate themes in fields like Function, Tracking and Observer.
He most often published in these fields:
- Control theory (81.17%)
- Adaptive control (39.01%)
- Sliding mode control (28.25%)
What were the highlights of his more recent work (between 2011-2021)?
- Control theory (81.17%)
- Sliding mode control (28.25%)
- Multivariable calculus (14.35%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Control theory, Sliding mode control, Multivariable calculus, Adaptive control and Control engineering.
His Control theory study frequently draws connections between related disciplines such as Function.
His Sliding mode control study which covers Adaptive system that intersects with Continuous signal and Robust control.
His Multivariable calculus research integrates issues from Stability, Matrix, Differentiator and Algorithm.
The various areas that Liu Hsu examines in his Adaptive control study include Lyapunov function, Visual servoing and Feedforward neural network.
His Control engineering research incorporates themes from Servo, Model predictive control, Robot control, Robot and Trajectory.
Between 2011 and 2021, his most popular works were:
- Adaptive visual servoing scheme free of image velocity measurement for uncertain robot manipulators (34 citations)
- Global real-time optimization by output-feedback extremum-seeking control with sliding modes (22 citations)
- Peaking free output‐feedback exact tracking of uncertain nonlinear systems via dwell‐time and norm observers (22 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
Liu Hsu mainly focuses on Control theory, Sliding mode control, Nonlinear system, Multivariable calculus and Adaptive control.
His studies deal with areas such as Matrix, Visual servoing and Control as well as Control theory.
His Visual servoing research is multidisciplinary, relying on both Camera resectioning and Computer vision.
His Sliding mode control research includes elements of Stability, Differentiator and Output feedback.
The study incorporates disciplines such as Linear system, Filter and Exponential function in addition to Differentiator.
Liu Hsu has researched Nonlinear system in several fields, including Function and Norm.
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