Myeongseok Ryu / 유명석
Ph.D. Student
dding_98@kaist.ac.kr
📄 Curriculum Vitae (CV)
0009-0004-3279-5765
Google Scholar
ResearchGate
GitHub
12654854

Description

Myeongseok Ryu received a B.S. degree in Department of Mechanical Engineering from Incheon National University, South Korea, in 2023, and a M.S. degree in Department of Mechanical Engineering from Gwangju Institute of Science and Technology (GIST), South Korea, in 2025. He is currently pursuing a Ph.D. degree at the Cho Chun Shik Graduate School of Mobility, KAIST, Daejeon, South Korea, and is a member of the MIC Lab.

His research interests include neuro-adaptive control, contraction theory, and online optimization.

Selected research is Constrained Optimization-Based Neuro-Adaptive Control (CONAC). Related publications include: [1], [2], [3].

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Publications in MIC Lab

Quick Links

• Papers Under Review (1)
• International Conference Papers (4)
• Domestic Conference Papers (3)
• Master's Theses (1)
• Preprints (1)

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Papers Under Review

2025

1. Constrained Optimization-Based Neuro-Adaptive Control (CONAC) for Euler-Lagrange Systems Under Weight and Input Constraints
   Myeongseok Ryu, Donghwa Hong, Kyunghwan Choi*
   IEEE Transactions on Cybernetics, 2025 [📃 Full-Text] [ Code]

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International Conference Papers

2025

1. Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machine
   Seunghun Jang, Myeongseok Ryu, Kyunghwan Choi*
   IEEE IECON(accepted, in press), 2025 [🌐 Preprint] [📃 Full-Text] [ Code]
2. Constrained Optimization-Based Neuro-Adaptive Control (CONAC) for Synchronous Machine Drives Under Voltage Constraints
   Myeongseok Ryu, Niklas Monzen, Pascal Seitter, Kyunghwan Choi, Christoph M. Hackl*
   IEEE IECON(accepted, in press), 2025 [🌐 Preprint] [📃 Full-Text] [ Code]
3. Imposing a Weight Norm Constraint for Neuro-Adaptive Control
   Myeongseok Ryu, Jiyun Kim, Kyunghwan Choi*
   European Control Conference (ECC)(accepted, in press), pp. 380-385, 2025 [🌐 Preprint] [📃 Full-Text] [🎥 Presentation] [ Code]



2023

4. A Comparative Study of Reinforcement Learning and Analytical Methods for Optimal Control
   Myeongseok Ryu, Junseo Ha, Minji Kim, Kyunghwan Choi*
   International Workshop on Intelligent Systems (IWIS), pp. 1-5, 2023 [🌐 Online] [💾 Cite]

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Domestic Conference Papers

2024

1. Approximation-based Steering Controller with Deep Neural Network
   심층신경망 근사기반 조향 제어기
   Myeongseok Ryu, Kyunghwan Choi*
   제어로봇시스템학회 (ICROS), pp. 884-885, 2024 [🌐 DBpia Online] [📃 Full-Text]



2023

2. Integrated Motion Control of Four in-Wheel Motor Actuated Vehicles Considering Path Tracking, Ride Comfort, and Energy Efficiency
   경로 추종, 동적 승차감, 그리고 에너지 효율을 고려한 전륜 인휠모터 자동차의 통합 운동 제어
   Myeongseok Ryu, Kyunghwan Choi*
   한국자동차공학회 추계학술대회 (KSAE), pp. 490, 2023 [🌐 DBpia Online]
3. Data-driven Modeling of Model Residuals for Linear Model Predictive Control of Nonlinear Systems
   비선형 시스템의 선형모델예측제어를 위한 데이터 기반 시스템 잔차 모델링
   Myeongseok Ryu, Kyunghwan Choi*
   제어로봇시스템학회 (ICROS), pp. 837-838, 2023 [🌐 DBpia Online] [📃 Full-Text]
   
   📄 Awarded Best Paper Award at the 2023 Institute of Control, Robotics and Systems (ICROS) Conference.

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Master's Theses

2025

1. Constrained Optimization-Based Neuro-Adaptive Control (CoNAC) for Euler-Lagrange Systems
   Myeongseok Ryu, Kyunghwan Choi*
   Gwangju Institute of Science and Technology (GIST) Library, 2025 [📃 Full-Text]

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Preprints

2024

1. CNN-based End-to-End Adaptive Controller with Stability Guarantees
   Myeongseok Ryu, Kyunghwan Choi*
   Arxiv, 2024 [🌐 Preprint Online] [📃 Preprint Full-Text]

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