What is he best known for?
The fields of study he is best known for:
- Control theory
- Mathematical analysis
- Artificial intelligence
His main research concerns Control theory, Artificial neural network, Stability, Linear matrix inequality and Exponential stability.
His study in the field of Lyapunov function also crosses realms of Convex optimization.
His Artificial neural network research incorporates themes from Interval and Inequality.
His Stability research integrates issues from Mathematical optimization, Lyapunov krasovskii, Linear matrix and Multiple integral.
Oh-Min Kwon has researched Linear matrix inequality in several fields, including Lyapunov stability and Circle criterion.
His Exponential stability study combines topics in areas such as Upper and lower bounds and Numerical stability.
His most cited work include:
- Stability of time-delay systems via Wirtinger-based double integral inequality (259 citations)
- A novel criterion for delayed feedback control of time-delay chaotic systems (208 citations)
- LMI optimization approach on stability for delayed neural networks of neutral-type (173 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Control theory, Linear matrix, Linear matrix inequality, Stability and Exponential stability.
His work carried out in the field of Control theory brings together such families of science as Artificial neural network, Stability criterion and Interval.
His research integrates issues of Numerical stability and Circle criterion in his study of Stability criterion.
His Linear matrix research is multidisciplinary, incorporating perspectives in Lyapunov functional, Optimization algorithm, Mathematical optimization and Linear system.
His Linear matrix inequality research focuses on Lyapunov stability and how it connects with Synchronization.
His Stability research incorporates elements of Upper and lower bounds, Feasible region, Lyapunov krasovskii and Applied mathematics.
He most often published in these fields:
- Control theory (76.09%)
- Linear matrix (28.26%)
- Linear matrix inequality (28.26%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (76.09%)
- Control theory (13.48%)
- Fuzzy control system (6.96%)
In recent papers he was focusing on the following fields of study:
Oh-Min Kwon mostly deals with Control theory, Control theory, Fuzzy control system, Disturbance and Applied mathematics.
Control theory is represented through his Exponential stability and Actuator research.
His study in Control theory is interdisciplinary in nature, drawing from both Function and Tracking.
His research in Fuzzy control system intersects with topics in Observer, Linear matrix inequality, Variable and Interval.
His Applied mathematics study combines topics from a wide range of disciplines, such as Zero, State, Stability and Linear matrix.
His work focuses on many connections between Stability and other disciplines, such as Lyapunov function, that overlap with his field of interest in Theoretical computer science, Discrete time and continuous time and Consensus.
Between 2018 and 2021, his most popular works were:
- Disturbance and uncertainty rejection performance for fractional-order complex dynamical networks. (23 citations)
- Finite-time boundedness of interval type-2 fuzzy systems with time delay and actuator faults (15 citations)
- Reliable non-fragile memory state feedback controller design for fuzzy Markov jump systems (14 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Mathematical analysis
- Artificial intelligence
His scientific interests lie mostly in Control theory, Control theory, Disturbance, Stability theory and Set.
His research brings together the fields of Fractional calculus and Control theory.
Oh-Min Kwon combines subjects such as Stability, Robustness and Synchronization with his study of Fractional calculus.
His Control theory research is multidisciplinary, relying on both Chaotic neural network and Nonlinear system.
His research investigates the connection between Fuzzy control system and topics such as Actuator that intersect with problems in State observer, Observer, Interval and Variable.
He integrates Linear matrix inequality with Convex optimization in his study.
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