What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mechanical engineering
Katsuhisa Furuta focuses on Control theory, Control system, Control theory, Inverted pendulum and Control engineering.
His work in Control theory is not limited to one particular discipline; it also encompasses Motion control.
As a part of the same scientific study, he usually deals with the Control system, concentrating on Feed forward and frequently concerns with Relation and Motion.
In Inverted pendulum, Katsuhisa Furuta works on issues like Pendulum, which are connected to Mechatronics, Interface, User interface and Nonlinear control.
His Control engineering research includes themes of Servo control, Control and Master/slave.
His research integrates issues of Energy control, Linear system and Riccati equation in his study of Robustness.
His most cited work include:
- Sliding mode control of a discrete system (763 citations)
- Brief Swinging up a pendulum by energy control (705 citations)
- Pole assignment in a specified disk (258 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Control engineering, Control theory, Control system and Sliding mode control.
His study in Variable structure control, Nonlinear system, Linear system, Optimal control and Inverted pendulum falls under the purview of Control theory.
His Inverted pendulum course of study focuses on Pendulum and Double pendulum and Swing.
His Control engineering research includes elements of Control, Simulation and Digital control.
His study in Control system is interdisciplinary in nature, drawing from both Computer Aided Design and Motion control.
Katsuhisa Furuta has researched Sliding mode control in several fields, including Lyapunov function, Adaptive control and Robust control.
He most often published in these fields:
- Control theory (68.33%)
- Control engineering (29.93%)
- Control theory (19.70%)
What were the highlights of his more recent work (between 2003-2020)?
- Control theory (68.33%)
- Control engineering (29.93%)
- Control theory (19.70%)
In recent papers he was focusing on the following fields of study:
Control theory, Control engineering, Control theory, Control system and Sliding mode control are his primary areas of study.
His Control theory study frequently links to other fields, such as Pendulum.
Katsuhisa Furuta has included themes like Inverted pendulum, Double pendulum and Swing in his Pendulum study.
His Control engineering research incorporates elements of Control, Actuator and Identification.
His study on Control system is mostly dedicated to connecting different topics, such as Robustness.
The concepts of his Sliding mode control study are interwoven with issues in Stability, Lyapunov redesign, Control-Lyapunov function and Adaptive control.
Between 2003 and 2020, his most popular works were:
- Motion Generation of the Capsubot Using Internal Force and Static Friction (92 citations)
- Self-tuning control based on generalized minimum variance criterion for auto-regressive models (50 citations)
- A pendulum-driven cart via internal force and static friction (45 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mechanical engineering
His primary areas of investigation include Control theory, Control engineering, Control theory, Sliding mode control and Mechatronics.
Much of his study explores Control theory relationship to Pendulum.
His research investigates the connection between Control engineering and topics such as Conservation law that intersect with issues in Image.
His Sliding mode control research is multidisciplinary, relying on both Differentiator, Lipschitz continuity and Signal processing.
His biological study spans a wide range of topics, including Online identification, Control, Internal model, Mechanical design and Haptic technology.
As part of one scientific family, Katsuhisa Furuta deals mainly with the area of Control system, narrowing it down to issues related to the Adaptive control, and often Vehicle dynamics.
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