His Artificial intelligence study frequently draws connections between adjacent fields such as Control (management). His study on Control (management) is mostly dedicated to connecting different topics, such as Control theory (sociology). His research brings together the fields of Artificial intelligence and Control theory (sociology). He performs integrative study on Stability (learning theory) and Machine learning in his works. With his scientific publications, his incorporates both Machine learning and Stability (learning theory). Borrowing concepts from Algorithm, he weaves in ideas under Artificial neural network. Oh-Min Kwon conducted interdisciplinary study in his works that combined Algorithm and Artificial neural network. His work blends Applied mathematics and Mathematical analysis studies together. Oh-Min Kwon merges Mathematical analysis with Applied mathematics in his research.
His Machine learning study frequently draws parallels with other fields, such as Stability (learning theory) and Artificial neural network. He integrates Artificial neural network and Machine learning in his research. He brings together Artificial intelligence and Algorithm to produce work in his papers. He merges many fields, such as Algorithm and Artificial intelligence, in his writings. He frequently studies issues relating to Control theory (sociology) and Control (management). Oh-Min Kwon regularly links together related areas like Control (management) in his Control theory (sociology) studies. His Exponential stability research extends to Quantum mechanics, which is thematically connected. Oh-Min Kwon regularly ties together related areas like Quantum mechanics in his Exponential stability studies. He conducts interdisciplinary study in the fields of Mathematical optimization and Linear matrix inequality through his research.
Control theory (sociology) and Tracking error are all intrinsically tied to his study in Control (management). His Control theory (sociology) research extends to Artificial intelligence, which is thematically connected. Oh-Min Kwon performs integrative study on Statistics and Estimator in his works. His work blends Estimator and Statistics studies together. His Jump research extends to Quantum mechanics, which is thematically connected. He conducts interdisciplinary study in the fields of Mathematical optimization and Linear matrix inequality through his works. By researching both Linear matrix inequality and Mathematical optimization, Oh-Min Kwon produces research that crosses academic boundaries. His work on Controller (irrigation) is being expanded to include thematically relevant topics such as Agronomy. His Agronomy study frequently intersects with other fields, such as Controller (irrigation).
His Statistics study frequently intersects with other fields, such as Matching (statistics) and Estimator. In his research, Oh-Min Kwon undertakes multidisciplinary study on Estimator and Statistics. His Control (management) study frequently draws connections between adjacent fields such as Control theory (sociology). His study ties his expertise on Control (management) together with the subject of Control theory (sociology). Oh-Min Kwon integrates Artificial intelligence and Fuzzy logic in his research. He performs integrative study on Fuzzy logic and Artificial intelligence. In his works, Oh-Min Kwon performs multidisciplinary study on Quantum mechanics and Observer (physics). His study deals with a combination of Observer (physics) and Quantum mechanics. He undertakes interdisciplinary study in the fields of Seismology and Fault (geology) through his works.
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Stability of time-delay systems via Wirtinger-based double integral inequality
MyeongJin Park;OhMin Kwon;Ju H. Park;SangMoon Lee.
Automatica (2015)
A novel criterion for delayed feedback control of time-delay chaotic systems
J.H. Park;O.M. Kwon.
Chaos Solitons & Fractals (2005)
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)
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)
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)
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)
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)
Extended dissipative analysis for neural networks with time-varying delays.
Tae H. Lee;Myeong Jin Park;Ju H. Park;Oh Min Kwon.
IEEE Transactions on Neural Networks (2014)
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