What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Control theory
- Electrical engineering
The scientist’s investigation covers issues in Control theory, Fuzzy control system, Fuzzy logic, Control theory and Chaotic.
His Control theory research includes elements of Wind power and Mathematical optimization.
His research integrates issues of Discrete time and continuous time, Lyapunov function, Nonlinear system and Digital control in his study of Fuzzy control system.
His research investigates the connection between Digital control and topics such as Control system that intersect with issues in Sampling, Fuzzy model and Intelligent decision support system.
His Fuzzy logic research incorporates elements of Parametric statistics and Interval.
His work on Lyapunov exponent as part of general Chaotic research is frequently linked to Chen, bridging the gap between disciplines.
His most cited work include:
- Bifurcations and chaos in a permanent-magnet synchronous motor (218 citations)
- Hybrid state-space fuzzy model-based controller with dual-rate sampling for digital control of chaotic systems (154 citations)
- A new intelligent digital redesign for T-S fuzzy systems: global approach (110 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Control theory, Fuzzy logic, Fuzzy control system, Nonlinear system and Control theory.
His Control theory research is multidisciplinary, incorporating perspectives in Control engineering and Mathematical optimization.
His biological study spans a wide range of topics, including Genetic algorithm, Exponential stability and Lyapunov stability.
His Fuzzy control system research incorporates themes from Fuzzy number, Defuzzification, Control system and Digital control.
Young Hoon Joo has included themes like Parametric statistics, Stability, Observer, Discretization and Fuzzy model in his Nonlinear system study.
Control theory is often connected to Chaotic in his work.
He most often published in these fields:
- Control theory (65.19%)
- Fuzzy logic (37.02%)
- Fuzzy control system (36.65%)
What were the highlights of his more recent work (between 2016-2021)?
- Control theory (65.19%)
- Fuzzy logic (37.02%)
- Control theory (26.15%)
In recent papers he was focusing on the following fields of study:
Young Hoon Joo spends much of his time researching Control theory, Fuzzy logic, Control theory, Nonlinear system and Fuzzy control system.
The Control theory study combines topics in areas such as Wind power and Turbine.
His studies deal with areas such as Permanent magnet synchronous generator, Stability, Actuator and Integral sliding mode as well as Fuzzy logic.
In the subject of general Control theory, his work in Sliding mode control is often linked to Constant, thereby combining diverse domains of study.
The study incorporates disciplines such as Fuzzy filter, Observer, Filter, Applied mathematics and Interconnection in addition to Nonlinear system.
Young Hoon Joo has researched Fuzzy control system in several fields, including Lyapunov redesign, Robust control, Interval, Discretization and Function.
Between 2016 and 2021, his most popular works were:
- Power extraction efficiency optimization of horizontal-axis wind turbines through optimizing control parameters of yaw control systems using an intelligent method (75 citations)
- Interval-valued intuitionistic hesitant fuzzy entropy based VIKOR method for industrial robots selection (55 citations)
- Model predictive control with finite control set for variable-speed wind turbines (54 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Control theory
- Electrical engineering
Young Hoon Joo mainly investigates Control theory, Control theory, Fuzzy logic, Linear matrix inequality and Fuzzy control system.
His Control theory study combines topics from a wide range of disciplines, such as Wind power and Wind speed.
His work carried out in the field of Control theory brings together such families of science as Robotics, Nacelle and Artificial neural network, Kalman filter, Artificial intelligence.
His Fuzzy logic study deals with Permanent magnet synchronous generator intersecting with Membership function, Stability theory and Passivity.
His studies in Linear matrix inequality integrate themes in fields like Fuzzy set operations, Neuro-fuzzy, Adaptive neuro fuzzy inference system and Defuzzification.
His Fuzzy control system research includes themes of Fuzzy number, Discretization and Lyapunov redesign.
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