Sang-Moon Lee mainly investigates Control theory, Stability, Linear matrix inequality, Exponential stability and Artificial neural network. His studies in Control theory integrate themes in fields like Upper and lower bounds, Stability criterion and Symmetric matrix. He works mostly in the field of Stability criterion, limiting it down to topics relating to Circle criterion and, in certain cases, Numerical stability.
His Stability research is multidisciplinary, relying on both Weighting, Mathematical optimization and Linear matrix. His studies deal with areas such as Feedback control, Feedback controller, Lyapunov function and Secure communication as well as Linear matrix inequality. He focuses mostly in the field of Artificial neural network, narrowing it down to topics relating to Interval and, in certain cases, Bounding overwatch.
Sang-Moon Lee focuses on Control theory, Linear matrix, Linear matrix inequality, Exponential stability and Stability. His research integrates issues of Artificial neural network, Stability criterion and Interval in his study of Control theory. Sang-Moon Lee has included themes like State and Discrete time and continuous time in his Interval study.
His Linear matrix research focuses on Mathematical optimization and how it relates to Multi-agent system. As a part of the same scientific study, Sang-Moon Lee usually deals with the Linear matrix inequality, concentrating on Control theory and frequently concerns with Chaotic. Specifically, his work in Exponential stability is concerned with the study of Delay dependent.
The scientist’s investigation covers issues in Chemical engineering, Control theory, Microporous material, Polymer and Adsorption. In the subject of general Chemical engineering, his work in Conjugated microporous polymer and Nanoparticle is often linked to Sonogashira coupling and Velvet worm, thereby combining diverse domains of study. He combines subjects such as Symmetric matrix and Asynchronous communication with his study of Control theory.
The various areas that Sang-Moon Lee examines in his Symmetric matrix study include Linear matrix inequality and Exponential stability. Sang-Moon Lee has researched Microporous material in several fields, including Colloid, Catalysis, Click chemistry and Organic polymer. Many of his research projects under Polymer are closely connected to Template and Emission quenching with Template and Emission quenching, tying the diverse disciplines of science together.
His main research concerns Chemical engineering, Microporous material, Control theory, Adsorption and Polymer. His Nanoparticle, Nanomaterials and Zeta potential study in the realm of Chemical engineering connects with subjects such as Methylene blue. The Microporous material study combines topics in areas such as Colloid and Catalysis.
His work on Lyapunov stability and Stability as part of general Control theory research is frequently linked to Quadratic equation, thereby connecting diverse disciplines of science. His Symmetric matrix research integrates issues from Linear matrix inequality, Exponential stability and Fuzzy control system. His Exponential stability study incorporates themes from Coupling and Lyapunov function.
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.
Stability of time-delay systems via Wirtinger-based double integral inequality
MyeongJin Park;OhMin Kwon;Ju H. Park;SangMoon Lee.
Automatica (2015)
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)
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 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)
Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control
Yajuan Liu;Bao-Zhu Guo;Ju H. Park;Sang-Moon Lee.
IEEE Transactions on Neural Networks (2018)
Nonfragile Exponential Synchronization of Delayed Complex Dynamical Networks With Memory Sampled-Data Control
Yajuan Liu;Bao-Zhu Guo;Ju H. Park;Sang-Moon Lee.
IEEE Transactions on Neural Networks (2018)
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)
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)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
Yeungnam University
Chungbuk National University
Gyeongsang National University
Academy of Mathematics and Systems Science
Sungkyunkwan University
Inha University
Sungkyunkwan University
Catholic University of Korea
Korea Advanced Institute of Science and Technology
Gandhigram Rural Institute
Imperial College London
KU Leuven
The University of Texas at San Antonio
Sichuan University
Rensselaer Polytechnic Institute
University of Ljubljana
Kogakuin University
Kumamoto University
Louisiana State University
National Oceanic and Atmospheric Administration
National Center for Atmospheric Research
University of Pittsburgh
Yale University
King's College London
University of Florence
University of Applied Sciences and Arts Northwestern Switzerland