Myeongseok Ryu
Myeongseok Ryu / 유λͺ…석
Ph.D. Student
dding_98@kaist.ac.kr
πŸ“„ Curriculum Vitae (CV)
0009-0004-3279-5765
Google Scholar
Linkedin
Myeongseok-Ryu
DDingR
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 researches are as follows: Constrained Optimization-Based Neuro-Adaptive Control (CONAC), see [1], [2], [3], and Contraction Theory-Based Control, see [4], [5].

As a target application, he focuses on the control of Vehicle Motion Systems, specifically Active Rear-Steering (ARS) Control, see [4], [6], [7].

Education

  • September 2025 - Present, Ph.D. in CCS Graduate School of Mobility, KAIST, South Korea
  • March 2025 - May 2025, Ph.D. in Mechanical Engineering, GIST, South Korea,
    • Withdrew for further studies
  • March 2023 - February 2025, M.S. in Mechanical Engineering, GIST, South Korea
  • March 2017 - February 2023, B.S. in Mechanical Engineering, Incheon National University, South Korea

Professional Experience

  • May 2025 - August 2025, Researcher, KAIST, South Korea

Grants and Awards

  • 2025, Best Presentation Paper Award, IEEE International Workshop on Intelligent Systems (IWIS)
  • 2025, European Control Association (EUCA) Student Support; 400 EUR
  • 2024, Graduate International Research Experience Fellowship (IREF), GIST; 16,000,000 KRW
  • 2023, Best Paper Award, Institute of Control, Robotics and Systems (ICROS)

Publications


Quick Links


Papers Under Review


    2026
  1. [New] Constrained Optimization-Based Neuro-Adaptive Control (CONAC) for Unknown Systems Under Multiple Convex Input Constraints
    Myeongseok Ryu , Donghwa Hong, Kyunghwan Choi*
    Withheld during double-blind review , 2026 [πŸ“ƒ Full-Text] [GitHub logo Code]
  2. [New] Physics-Constrained Kalman Filtering for Wheel Normal Load Estimation Using Suspension and IMU Measurements
    Angus Siegloff, Myeongseok Ryu , Kyunghwan Choi*
    IEEE Transactions on Vehicle Technology , 2026 [πŸ“ƒ Full-Text]
  3. [New] Model Predictive Control for Active Rear Steering Without Sideslip-Angle Feedback
    Myeongseok Ryu , Soobin Hwang, Kyunghwan Choi*
    American Control Conference (ACC) , 2027 [πŸ“ƒ Full-Text]

International Conference Papers


    2026
  1. [New] Constrained Optimization-Based Yaw-Rate Reference Map Generation for Active Rear Steering Control of Four-Wheel-Steering Vehicles
    Myeongseok Ryu , Donghyun Hwang, Youngsik Yoon, Kyunghwan Choi*
    International Conference on Control, Automation and Systems (ICCAS) (accepted, in press), 2026 [πŸ“ƒ Full-Text]
  2. Vector-Space Optimization Framework Based on Projected Contraction Condition for Control Design with Input Saturation
    Myeongseok Ryu , Kyunghwan Choi*, Sesun You
    International Federation of Automatic Control (IFAC) World Congress (accepted, in press), 2026 [πŸ“ƒ Full-Text] [πŸŽ₯ Presentation]
  3. All-Wheel Steering Vehicle Control Based on Contraction Theory with Neural Network
    Myeongseok Ryu , Kyunghwan Choi*
    IEEE International Conference on Advanced Motion Control (AMC) , pp. 1-6, 2026 [🌐 Online] [πŸ“ƒ Full-Text] [πŸŽ₯ Presentation] [πŸ’Ύ Cite]

    4. 2025
  4. Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machine
    Seunghun Jang, Myeongseok Ryu , Kyunghwan Choi*
    Annual Conference of the IEEE Industrial Electronics Society (IECON) , pp. 1-7, 2025 [🌐 Online] [πŸ“ƒ Full-Text] [πŸ’Ύ Cite] [GitHub logo Code]
  5. 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*
    Annual Conference of the IEEE Industrial Electronics Society (IECON) , pp. 1-7, 2025 [🌐 Online] [πŸ“ƒ Full-Text] [πŸ’Ύ Cite] [GitHub logo Code]
  6. Imposing a Weight Norm Constraint for Neuro-Adaptive Control
    Myeongseok Ryu , Jiyun Kim, Kyunghwan Choi*
    European Control Conference (ECC) , pp. 380-385, 2025 [🌐 Online] [πŸ“ƒ Full-Text] [πŸŽ₯ Presentation] [πŸ’Ύ Cite] [GitHub logo Code]

    7. 2023
  7. 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] [πŸ’Ύ Cite]

Domestic Conference Papers


    2026
  1. Constrained Optimization-Based Performance Improvement Analysis of Vehicle Lateral Control Using All-Wheel Steering
    사λ₯œ μ‘°ν–₯ μ‹œμŠ€ν…œμ„ ν†΅ν•œ 횑 μ°¨λŸ‰ 거동 ν–₯μƒμ˜ μ œμ•½ μ΅œμ ν™” 기반 뢄석
    Myeongseok Ryu , Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS) (accepted, in press), 2026 [πŸ“ƒ Full-Text]

    2. 2024
  2. Approximation-based Steering Controller with Deep Neural Network
    심측신경망 κ·Όμ‚¬κΈ°λ°˜ μ‘°ν–₯ μ œμ–΄κΈ°
    Myeongseok Ryu , Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS) , pp. 884-885, 2024 [🌐 DBpia Online] [πŸ“ƒ Full-Text]

    3. 2023
  3. Integrated Motion Control of Four in-Wheel Motor Actuated Vehicles Considering Path Tracking, Ride Comfort, and Energy Efficiency
    경둜 μΆ”μ’…, 동적 승차감, 그리고 μ—λ„ˆμ§€ νš¨μœ¨μ„ κ³ λ €ν•œ μ „λ₯œ 인휠λͺ¨ν„° μžλ™μ°¨μ˜ 톡합 μš΄λ™ μ œμ–΄
    Myeongseok Ryu , Kyunghwan Choi*
    ν•œκ΅­μžλ™μ°¨κ³΅ν•™νšŒ μΆ”κ³„ν•™μˆ λŒ€νšŒ (KSAE) , pp. 490, 2023 [🌐 DBpia Online]
  4. Data-driven Modeling of Model Residuals for Linear Model Predictive Control of Nonlinear Systems
    λΉ„μ„ ν˜• μ‹œμŠ€ν…œμ˜ μ„ ν˜•λͺ¨λΈμ˜ˆμΈ‘μ œμ–΄λ₯Ό μœ„ν•œ 데이터 기반 μ‹œμŠ€ν…œ μž”μ°¨ λͺ¨λΈλ§
    Myeongseok Ryu , Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS) , pp. 837-838, 2023 [🌐 DBpia Online] [πŸ“ƒ Full-Text]
      πŸ“„ Awarded Best Paper Award at the 2023 Institute of Control, Robotics and Systems (ICROS) Conference.

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 [πŸ“ƒ Full-Text]

Preprints


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