Myeongseok Ryu
Myeongseok Ryu / 유명석
he/him/his
Ph.D. Student
dding_98@kaist.ac.kr
0009-0004-3279-5765
Myeongseok's Citations
DDingR

Description

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

His research interests include adaptive control, neural-networks, and constrained optimization.


Publications

  1. Physics-Informed Online Learning of Flux Linkage Model for Synchronous Machine
    Seunghun Jang, Myeongseok Ryu, Kyunghwan Choi*
    IEEE Industrial Electronics Society (IECON) 2025 submitted [PDF]
  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 Industrial Electronics Society (IECON) 2025 submitted [PDF]
  3. Imposing a Weight Norm Constraint for Neuro-Adaptive Control
    Myeongseok Ryu, Jiyun Kim, Kyunghwan Choi*
    IEEE European Control Conference (ECC) 2025 accepted [PDF]
  4. Constrained Optimization-Based Neuro-Adaptive Control (CONAC) for Euler-Lagrange Systems Under Weight and Input Constraints
    Myeongseok Ryu, Donghwa Hong, Kyunghwan Choi*
    Techrxiv published[Online] [PDF]
  5. A Comparative Study of Reinforcement Learning and Analytical Methods for Optimal Control
    Myeongseok Ryu, Junseo Ha, Minji Kim, Kyunghwan Choi*
    IEEE International Workshop on Intelligent Systems (IWIS) 2023 accepted[Online] [PDF]

Grant and Awards

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