Oh‐Min Kwon
Papers
7
Total Citations
176
H-Index
6
About
Oh-Min Kwon is a leading researcher in advanced control systems, specializing in sliding mode control, fuzzy logic systems, and the robust control of Markovian and semi-Markovian jump systems. His work addresses critical challenges in ensuring stability and performance for complex, uncertain, and time-delayed nonlinear systems. Kwon’s major contributions include developing reliable, non-fragile memory state feedback controllers for fuzzy Markov jump systems (52 citations) and pioneering fuzzy sliding mode control designs for systems with time-varying delays (48 citations). He has advanced the field of finite-time control with his work on interval type-2 fuzzy dynamic sliding mode control for fractional-order nonlinear systems (27 citations). Notably, his 2024 paper on distributed sliding-mode consensus tracking for fuzzy multi-agent systems under hybrid cyber-attacks (22 citations) introduces innovative impulsive and switching signal frameworks to counter deception and denial-of-service threats, marking a significant step in secure multi-agent coordination. With over 175 citations across his top papers, Kwon’s research is highly influential, offering resilient and anti-disturbance solutions for applications ranging from robotic manipulators to networked control systems.
Research Focus
Key Achievements
Top Papers
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- 5Anti‐disturbance resilient tracking control for semi‐Markov jumping systems15 citations · 2022
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