Hyochan Lee
Hyochan Lee / 이효찬
Ph.D. Student
hyochanlee@kaist.ac.kr
0000-0002-7445-7412
Google Scholar
HyochanLee1007
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 Cho Chun Shik 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


Quick Links


Papers Under Review


    2026
  1. [New] From Bellman Consistency toward Bellman Optimality: Constrained Online Critic Learning for Nonlinear Optimal Control
    Hyochan Lee , Kyunghwan Choi*
    Withheld during double-blind review , 2026 [πŸ“ƒ Full-Text]

International Journal Papers


    2022
  1. Output-Feedback Multi-Loop Positioning Technique via Dual Motor Synchronization Approach for Elevator System Applications
    Hyochan Lee , Hyeoncheol Lee, Jaekwang Lee, Hyunduck Choi, Kyunghwan Choi, Younghun Kim, Seokkyoon Kim*
    Energies , vol. 15, no. 23, pp. , 2022 [🌐 Online]

International Conference Papers


    2026
  1. Online Constrained Reinforcement Learning for Optimal Tracking
    Hyochan Lee , Kyunghwan Choi*
    International Federation of Automatic Control (IFAC) World Congress (accepted, in press), 2026 [πŸ“ƒ Full-Text]

    2. 2025
  2. Constrained Optimization Formulation of Bellman Optimality Equation for Online Reinforcement Learning
    Hyochan Lee , Kyunghwan Choi*
    International Conference on Robot Intelligence Technology and Applications (RiTA) (accepted, in press), 2025 [πŸ“ƒ Full-Text]
  3. 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) , pp. 1273-1278, 2025 [🌐 Online]
  4. Online Actor Critic Learning for Optimal Tracking in Servo Positioning Systems
    Hyochan Lee , Kyunghwan Choi*
    Annual Conference of the IEEE Industrial Electronics Society (IECON) , pp. 1-7, 2025 [🌐 Online] [πŸ“ƒ Full-Text]

Domestic Journal Papers


    2022
  1. Speed Tracking for Servo Systems via Active Pole-Zero Cancellation Stabilization Technique
    μ„œλ³΄ μ‹œμŠ€ν…œ μ‘μš©μ„ μœ„ν•œ λŠ₯λ™ν˜• 영-극점 상쇄 속도 μΆ”μ’… 기술
    Hyochan Lee , Youngseok Lee, Kyunghwan Choi, Seokkyoon Kim*
    Journal of Institute of Control, Robotics and Systems , vol. 28, no. 11, pp. 1045-1051, 2022 [🌐 Online]

Domestic Conference Papers


    2026
  1. Constrained Optimization Formulation of Bellman Optimality Equation for Online Reinforcement Learning
    온라인 κ°•ν™”ν•™μŠ΅μ„ μœ„ν•œ 벨만 졜적 λ°©μ •μ‹μ˜ μ œμ•½ μ΅œμ ν™” 문제
    Hyochan Lee , Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS) (accepted, in press), 2026 [πŸ“ƒ Full-Text]

    2. 2025
  2. 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]

    3. 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 지λŠ₯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]