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.
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.
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.
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.
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.
A novel criterion for delayed feedback control of time-delay chaotic systems
J.H. Park;O.M. Kwon.
Chaos Solitons & Fractals (2005)
Stability of time-delay systems via Wirtinger-based double integral inequality
MyeongJin Park;OhMin Kwon;Ju H. Park;SangMoon Lee.
Automatica (2015)
LMI optimization approach on stability for delayed neural networks of neutral-type
Ju H. Park;O. M. Kwon;Sang-Moon Lee.
Applied Mathematics and Computation (2008)
A new stability criterion for bidirectional associative memory neural networks of neutral-type
Ju H. Park;C. H. Park;O. M. Kwon;Sang-Moon Lee.
Applied Mathematics and Computation (2008)
On improved delay-dependent robust control for uncertain time-delay systems
O.M. Kwon;J.H. Park.
IEEE Transactions on Automatic Control (2004)
Stability for Neural Networks With Time-Varying Delays via Some New Approaches
Oh-Min Kwon;Myeong-Jin Park;Sang-Moon Lee;J. H. Park.
IEEE Transactions on Neural Networks (2013)
Stability and stabilization of T-S fuzzy systems with time-varying delays via augmented Lyapunov-Krasovskii functionals
O.M. Kwon;M.J. Park;Ju H. Park;S.M. Lee.
Information Sciences (2016)
Stochastic sampled-data control for state estimation of time-varying delayed neural networks
Tae H. Lee;Ju H. Park;O. M. Kwon;S. M. Lee.
Neural Networks (2013)
Further results on state estimation for neural networks of neutral-type with time-varying delay
Ju H. Park;O.M. Kwon.
Applied Mathematics and Computation (2009)
Secure communication based on chaotic synchronization via interval time-varying delay feedback control
O. M. Kwon;Ju H. Park;S. M. Lee.
Nonlinear Dynamics (2011)
Yeungnam University
Kyungpook National University
Bharathiar University
Thiruvalluvar University
Nanjing University of Posts and Telecommunications
Bharathiar University
Bharathiar University
Centre national de la recherche scientifique, CNRS
Southeast University
Profile was last updated on December 6th, 2021.
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The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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