Hyochan Lee
Hyochan Lee / 이효찬
Ph.D. Student
hyochanlee@kaist.ac.kr
0000-0002-7445-7412
Google Scholar
GitHub
12678429

Description

Hyochan Lee received the B.S. and M.S. degrees in the Department of Creative Convergence Engineering from Hanbat National University, Daejeon, South Korea, in 2023 and 2024, respectively. He is currently pursuing the Ph.D. degree in the Graduate School of Mobility at the KAIST, Daejeon, South Korea.

His current research interests include intelligent control of mobility systems using reinforcement learning and deep learning, tracking control of electromechanical systems, and the development of advanced control theories such as nonlinear adaptive control, optimal control, and learning-based control.


Publications in MIC Lab


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Papers Under Review


    2025
  1. Using Deep Reinforcement Learning for Dynamic Gain Adjustment of a Disturbance Observer
    Hyochan Lee, Kyunghwan Choi*, Wooyong Kim*
    International Conference on Control, Automation and Systems (ICCAS) , 2025 [🌐 Preprint] [πŸ“ƒ Full-Text]
  2. PZC-Based Active Disturbance Rejection Positioning with Critical Damped Performance for Servo Drive Applications
    Hyochan Lee, Seok-Kyoon Kim, Choon Ki Ahn*
    IEEE Transactions on Transportation Electrification, 2025

International Conference Papers


    2025
  1. Online Actor Critic Learning for Optimal Tracking in Servo Positioning Systems
    Hyochan Lee, Kyunghwan Choi*
    IEEE IECON(accepted, in press), 2025 [πŸ“ƒ Full-Text]

Domestic Conference Papers


    2025
  1. Online Reinforcement Learning for Optimal Tracking in Servo Positioning Systems
    온라인 κ°•ν™”ν•™μŠ΅ 기반 μ„œλ³΄ μ‹œμŠ€ν…œμ˜ 졜적 각도 μΆ”μ’… μ œμ–΄

    Hyochan Lee, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), 2025 [πŸ“ƒ Full-Text]

  2. 2024
  3. Using Deep Reinforcement Learning for Intelligent Gain Adjustment of a Disturbance Observer
    μ™Έλž€κ΄€μΈ‘κΈ°μ˜ μ‹¬μΈ΅κ°•ν™”ν•™μŠ΅ 기반 μ§€λŠ₯ν˜• μžλ™ 동쑰 기법

    Hyochan Lee, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), pp. 292-293, 2024 [🌐 DBpia Online] [πŸ“ƒ Full-Text]