Kyunghwan Choi
Kyunghwan Choi, Ph.D.
μ΅œκ²½ν™˜
Principal Investigator
kh.choi@kaist.ac.kr
πŸ“„ Curriculum Vitae (CV)
0000-0002-4832-1597
Google Scholar
ResearchGate
GitHub
11305927

Description

Kyunghwan Choi is an Assistant Professor at the Cho Chun Shik Graduate School of Mobility at the KAIST and Director of the Mobility Intelligence and Control Laboratory (MIC Lab).

His research focuses on optimal and learning-based control for connected, automated, and electrified vehicles (CAEVs).

He received his B.S., M.S., and Ph.D. degrees in Mechanical Engineering from KAIST. He held positions at KAIST and GIST before rejoining KAIST in 2025 as an Assistant Professor.

Professional Experience

  • May 2025 - Present, Assistant Professor, CCS Graduate School of Mobility, KAIST
  • Sep 2022 - May 2025, Adjunct Professor, AI Graduate School, GIST
  • Mar 2022 - May 2025, Assistant Professor, Department of Mechanical and Robotics Engineering, GIST
  • Jan 2021 - Feb 2022, Research Assistant Professor, Research Center for Eco-Friendly & Smart Vehicles, KAIST
  • Mar 2020 - Jan 2021, Postdoctoral Fellow, Research Center for Eco-Friendly & Smart Vehicles, KAIST


Education

  • Ph.D., Mechanical Engineering, KAIST, 2020 (Advisor: Prof. Kyung-soo Kim)
  • M.S., Mechanical Engineering, KAIST, 2016 (Advisor: Prof. Kyung-soo Kim)
  • B.S., Mechanical Engineering, KAIST, 2014 (Graduated magna cum laude)


Hands-on Experience with Mobility Systems

  • Experience in developing various types of mobility systems through active involvement in multiple R&D projects
    • Key Figure
    • Project 1: μžμœ¨μ£Όν–‰ μ „κΈ°μ°¨μš© κ³ μ„±λŠ₯ μ‘°ν–₯μ œμ–΄κΈ°μˆ  개발 (19.1.~21.12, ν•œκ΅­μžλ™μ°¨μ—°κ΅¬μ›)
    • Project 2: μ „κΈ°μ°¨ μ—°κ΄€μ‚°μ—… μœ‘μ„±κΈ°λ°˜ 쑰성사업 (19.1.~21.12, μ œμ£ΌνŠΉλ³„μžμΉ˜λ„)
    • Project 3: 인프라 μ„Όμ‹± 기반 μžμœ¨μ£Όν–‰ μ „κΈ°μžλ™μ°¨ 개발 연ꡬ (19.8.~21.12., KAIST)
    • Project 4: μžμœ¨μ£Όν–‰ κΈ°λŠ₯지원을 μœ„ν•œ μ†Œν”„νŠΈμ›¨μ–΄ μ˜€ν”ˆ APIλ₯Ό κ°€μ§€λŠ” μ „κΈ°μ°¨μš© μƒ€μ‹œν”Œλž«νΌ 개발 (22.6.~23.5., ν•œκ΅­μžλ™μ°¨μ—°κ΅¬μ›)
    • Project 5: μžμœ¨μ£Όν–‰μ„ μœ„ν•œ PBV용 μ‘°ν–₯μ œμ–΄κΈ°μˆ  연ꡬ (23.8.~23.11., ν•œκ΅­μ „μžν†΅μ‹ μ—°κ΅¬μ›)

  • Key contributions and achievements in Project 1
    • Key Figure Key Figure

    International Journal Papers
    1. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim*, β€œComputationally Efficient Model Predictive Torque Control of Permanent Magnet Synchronous Machines Using Numerical Techniques,” IEEE Transactions on Control Systems Technology, vol. 30, no. 4, pp. 1774-1781, 2022.
    2. K. Choi, J. Byun, S. Lee, and I. G. Jang*, β€œAdaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs with a Near-optimal Equivalent Factor Considering Driving Conditions,” IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2538-2549, 2022.
    3. J. Byun and K. Choi*, β€œEffects Analysis of Light-duty Diesel Truck Hybrid Conversion Depending on Driving Style,” Transportation Research Part D: Transport and Environment, vol. 97, pp. 102958, 2021.
    4. K. Choi, Y. Kim, K.-S. Kim*, and S.-K. Kim*, β€œReal-time Optimal Torque Control of Interior Permanent Magnet Synchronous Motors Based on a Numerical Optimization Technique,” IEEE Transactions on Control Systems Technology, vol. 29, no. 4, pp. 1815-1822, 2021.
    5. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim*, β€œCurrent and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer,” IEEE Transactions on Industrial Electronics, vol. 68, no. 6, pp. 5227-5236, 2021.
    6. K. Choi, Y. Kim, S.-K. Kim*, and K.-S. Kim, β€œAuto-calibration of Position Offset for PMSM Drives with Uncertain Parameters,” Electronics Letters, vol. 56, no. 20, pp. 1048-1051, 2020.
    7. K. Choi, D. S. Kim, and S.-K. Kim*, β€œDisturbance Observer-based Offset-free Global Tracking Control for Input-constrained LTI Systems with DC/DC Buck Converter Applications,” Energies, vol. 13, no. 16, p. 4079, 2020.
    8. K. Choi, Y. Kim, K.-S. Kim*, and S.-K. Kim*, β€œOutput Voltage Tracking Controller Embedding Auto-tuning Algorithm for DC/DC Boost Converters,” IET Power Electronics, vol. 12, no. 14, pp. 3767-3773, 2019.
    9. K. Choi, K.-S. Kim*, and S.-K. Kim*, β€œProportional-type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer,” Energies, vol. 12, no. 8, p. 1412, 2019.
    10. K. Choi, Y. Kim, K.-S. Kim*, and S.-K. Kim*, β€œUsing the Stator Current Ripple Model for Real-time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor,” IEEE Access, vol. 7, pp. 33369-33379, 2019.

    International Patents - Registered

    1. K.-S. Kim, K. Choi, and I. G. Jang, β€œMethod and apparatus for controlling power of hybrid vehicle considering driving environment,” U.S. Patent 12,097,840, Sep. 24, 2024.
    2. K.-S. Kim, K. Choi, and S.-K. Kim, β€œMethod and apparatus for real-time estimation of full parameters of permanent magnet synchronous motor,” U.S. Patent 11,614,488, Mar. 28, 2023.
    3. I. G. Jang, D. Kum, K.-S. Kim, K. Jang, C. Lee, J. H. Kim, K. Choi, and M. Kim, β€œApparatus and method for operating accessories of vehicle during engine stop using one-way clutch pulley,” U.S. Patent 11,607,944, Mar. 21, 2023.

    International Patents - Pending

    1. K.-S. Kim, K. Choi, and I. G. Jang, β€œMethod and apparatus for controlling power of hybrid vehicle considering transient characteristics,” U.S. Patent Application 18/648,697, Apr. 29, 2024, pending.

    Domestic Patents - Registered

    1. κΉ€κ²½μˆ˜, μ΅œκ²½ν™˜, μž₯인ꢌ, β€œν•˜μ΄λΈŒλ¦¬λ“œ μ°¨λŸ‰μ˜ κ³Όλ„νŠΉμ„±μ„ κ³ λ €ν•œ 동λ ₯μ œμ–΄ 방법 및 μž₯치,” λŒ€ν•œλ―Όκ΅­ νŠΉν—ˆ 10-2701529, 2024.8.28.
    2. κΉ€κ²½μˆ˜, μ΅œκ²½ν™˜, μž₯인ꢌ, β€œν•˜μ΄λΈŒλ¦¬λ“œ μ°¨λŸ‰μ˜ μ£Όν–‰ν™˜κ²½μ„ κ³ λ €ν•œ 동λ ₯μ œμ–΄ 방법 및 μž₯치,” λŒ€ν•œλ―Όκ΅­ νŠΉν—ˆ 10-2508409, 2023.3.6.
    3. κΉ€κ²½μˆ˜, μ΅œκ²½ν™˜, 김석균, β€œμ˜κ΅¬μžμ„λ™κΈ°λͺ¨ν„° 전체 νŒŒλΌλ―Έν„°μ˜ μ‹€μ‹œκ°„ μΆ”μ • 방법 및 μž₯치,” λŒ€ν•œλ―Όκ΅­ νŠΉν—ˆ 10-2437244, 2022.8.24.
    4. μž₯인ꢌ, κΈˆλ™μ„, κΉ€κ²½μˆ˜, μž₯κΈ°νƒœ, 이창우, κΉ€μ’…ν˜Έ, μ΅œκ²½ν™˜, κΉ€λ―ΌκΈ°, β€œμ›μ›¨μ΄ 클러치 풀리λ₯Ό μ΄μš©ν•œ 엔진 정지 μ‹œ μ°¨λŸ‰ λΆ€κ°€μž₯치의 ꡬ동 μž₯치 및 방법,” λŒ€ν•œλ―Όκ΅­ νŠΉν—ˆ 10-2053538, 2019.12.2.
    5. κΉ€κ²½μˆ˜, μž„λ―Έλ¦Ό, μ΅œκ²½ν™˜, κΈˆλ™μ„, β€œμœ μ„±κΈ°μ–΄λ₯Ό μ΄μš©ν•œ μ „κΈ°ν™” μˆ˜λ™λ³€μ†κΈ° 기반 ν•˜μ΄λΈŒλ¦¬λ“œ νŒŒμ›ŒνŠΈλ ˆμΈ μ œμ–΄ 방법,” λŒ€ν•œλ―Όκ΅­ νŠΉν—ˆ 10-2044210, 2019.11.7.

Publications in MIC Lab


Quick Links


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 [πŸ“ƒ Full-Text] [GitHub logo Code]
  2. 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]
  3. Integral Error-Based Adaptive Neural Identifier for a Class of Uncertain Nonlinear Systems
    Donghwa Hong, Kyunghwan Choi*
    International Conference on Control, Automation and Systems (ICCAS), 2025 [πŸ“ƒ Full-Text]

International Journal Papers


    2025
  1. Development of a Real-time Link-Based Predictive Energy Management Strategy for Extending FCEV Lifespan Using an Experiment-driven Degradation Model
    Geunyoung Park, Kyunghwan Choi, Minjun Kim, EunAe Cho, Kyungsub Sung, Dongsuk Kum*
    Applied Energy, vol. 397, no. 16, 2025 [🌐 Online]
  2. Predictive Control of a Dog-Clutch Transmission via a Transformer-Based Velocity Prediction
    Geunyoung Park, Kyunghwan Choi, Dongsuk Kum*
    IEEE Transactions on Vehicular Technology, vol. 74, no. 5, pp. 7430-7443, 2025 [🌐 Online]
  3. Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human-Driven Vehicle Behavior
    Kyunghwan Choi*, Seongjae Shin, Minseok Seo
    Advanced Intelligent Systems, pp. 2400797, 2025 [🌐 Online]

    4. 2024
  4. Generalized Model Predictive Torque Control of Synchronous Machine
    Kyunghwan Choi, Jongseok Kim, Ki-Bum Park*
    IEEE/ASME TRANSACTIONS ON MECHATRONICS, pp. 1-11, 2024 [🌐 Online]
  5. An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?
    Kyunghwan Choi, Jongseok Kim, Ki-Bum Park*
    IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 9, pp. 12749-12761, 2024 [🌐 Online]

    6. 2023
  6. A Current Sensor Fault-detecting Method for Onboard Battery Management Systems of Electric Vehicles Based on Disturbance Observer and Normalized Residuals
    Wooyong Kim, Kunwoo Na, Kyunghwan Choi*
    International Journal of Control, Automation and Systems, vol. 21, no. 11, pp. 3563-3573, 2023 [🌐 Online]
  7. Chattering Reduction of Sliding Mode Control via Nonlinear Disturbance Observer for Anti-lock Braking System and Verification with Carsim Simulation
    Minseong Choi, Kyunghwan Choi, Minsu Cho, Minyoung Lee, Kyung-Soo Kim*
    International Journal of Automotive Technology, vol. 24, no. 4, pp. 1141–1149, 2023 [🌐 Online]

    8. 2022
  8. Real-Time Predictive Energy Management Strategy for Fuel Cell-Powered Unmanned Aerial Vehicles Based on the Control-Oriented Battery Model
    Kyunghwan Choi, Wooyong Kim*
    IEEE Control Systems Letters, vol. 7, pp. 943-948, 2022 [🌐 Online]
  9. Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs With a Near-Optimal Equivalent Factor Considering Driving Conditions
    Kyunghwan Choi, Jihye Byun, Sangmin Lee, In Gwun Jang*
    IEEE Transactions on Vehicular Technology, vol. 71, no. 3, pp. 2538-2549, 2022 [🌐 Online]
  10. Computationally Efficient Model Predictive Torque Control of Permanent Magnet Synchronous Machines Using Numerical Techniques
    Kyunghwan Choi, Yonghun Kim, Seok-Kyoon Kim*, Kyung-Soo Kim*
    IEEE Transactions on Control Systems Technology, vol. 30, no. 4, pp. 1774-1781, 2022 [🌐 Online]
  11. Model-Predictive-Control-Based Time-Optimal Trajectory Planning of the Distributed Actuation Mechanism Augmented by the Maximum Performance Evaluation
    Jong Ho Kim, Kyunghwan Choi, Gwun Jang*
    applied science, vol. 11, 2022 [🌐 Online]
  12. Current Sensorless State of Charge Estimation Approach for Onboard Battery Systems with an Unknown Current Estimator
    Wooyong Kim, Kyunghwan Choi*
    Journal of Energy Storage, vol. 52, 2022 [🌐 Online]

    13. 2021
  13. Model-Predictive-Control-Based Time-Optimal Trajectory Planning of the Distributed Actuation Mechanism Augmented by the Maximum Performance Evaluation
    Jong Ho Kim, Kyunghwan Choi, In Gwun Jang*
    Applied Sciences, vol. 11, no. 16, 2021 [🌐 Online]
  14. Effects Analysis of Light-duty Diesel Truck Hybrid Conversion Depending on Driving Style
    Jihye Byun, Kyunghwan Choi*
    Transportation Research Part D: Transport and Environment, vol. 97, pp. 102958, 2021 [🌐 Online]
  15. Real-Time Optimal Torque Control of Interior Permanent Magnet Synchronous Motors Based on a Numerical Optimization Technique
    Kyunghwan Choi, Yonghun Kim, Seok-Kyoon Kim*, Kyung-Soo Kim*
    IEEE Transactions on Control Systems Technology, vol. 29, no. 4, pp. 1815-1822, 2021 [🌐 Online]
  16. Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer
    Kyunghwan Choi, Yonghun Kim, Seok-Kyoon Kim*, Kyung-Soo Kim*
    IEEE Transactions on Industrial Electronics , vol. 68, no. 6, pp. 5227 - 5236, 2021 [🌐 Online]

    17. 2020
  17. Auto-calibration of Position Offset for PMSM Drives with Uncertain Parameters
    Kyunghwan Choi, Yonghun Kim, Kyung-Soo Kim, Seok-Kyoon Kim*
    Electronics Letters, vol. 56, no. 20, pp. 1048-1051, 2020 [🌐 Online]
  18. Disturbance Observer-Based Offset-Free Global Tracking Control for Input-Constrained LTI Systems with DC/DC Buck Converter Applications
    Kyunghwan Choi, Dong Soo Kim, Seok-Kyoon Kim*
    Energies, vol. 13, no. 16, pp. 4079, 2020 [🌐 Online]

    19. 2019
  19. Output Voltage Tracking Controller Embedding Auto-tuning Algorithm for DC/DC Boost Converters
    Kyunghwan Choi, Yonghun Kim, Kyung-Soo Kim*, Seok-Kyoon Kim*
    IET Power Electronics, vol. 12, no. 14, pp. 3767-3773, 2019 [🌐 Online]
  20. A Disturbance Observer Based Approach to Current Control of PMSM Drives for Torque Ripple Reduction
    Yonghun Kim, Kyunghwan Choi, Seok-Kyoon Kim*, Kyung-Soo Kim*
    International Federation of Automatic Control (IFAC)-PapersOnLine, vol. 52, pp. 206–209, 2019 [🌐 Online]
  21. Proportional-Type Sensor Fault Diagnosis Algorithm for DC/DC Boost Converters Based on Disturbance Observer
    Kyunghwan Choi, Kyung-Soo Kim*, Seok-Kyoon Kim*
    Energies, vol. 12, no. 8, pp. 1412, 2019 [🌐 Online]
  22. Using the Stator Current Ripple Model for Real-time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor
    Kyunghwan Choi, Yonghun Kim, Kyung-Soo Kim*, Seok-Kyoon Kim*
    IEEE Access, vol. vol. 7, pp. 33369-33379, 2019 [🌐 Online]

    23. 2017
  23. Mixed-Modality Stimulation to Evoke Two Modalities Simultaneously in One Channel for Electrocutaneous Sensory Feedback
    Kyunghwan Choi, Pyungkang Kim, Kyung-Soo Kim*, Soohyun Kim*
    IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 52, pp. 2258-2269, 2017 [🌐 Online]

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] [πŸ“ƒ Full-Text] [GitHub logo Code]
  2. 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]
  3. LMI-based Neural Network Observer for State and Nonlinearity Estimation
    Yeongho Jeong, Kyunghwan Choi*
    IEEE IECON(accepted, in press), 2025 [πŸ“ƒ Full-Text]
  4. 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] [πŸ“ƒ Full-Text] [GitHub logo Code]
  5. 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] [πŸ“ƒ Full-Text] [πŸŽ₯ Presentation] [GitHub logo Code]

    6. 2024
  6. Neural Network-based Nonlinearity Estimation of Voltage Source Inverter for Synchronous Machine Drives
    Yeongho Jeong, Seunghun Jang, Kyunghwan Choi*
    IEEE International Symposium on Industrial Electronics (ISIE), pp. 1-5, 2024 [🌐 Online] [GitHub logo Code]
  7. Extended State Observer Based Stator Flux Linkage Estimation of Nonlinear Synchronous Machines
    Seunghun Jang, Bernd Pfeifer, Christoph M. Hackl, Kyunghwan Choi*
    IEEE International Symposium on Industrial Electronics (ISIE), pp. 1-5, 2024 [🌐 Online] [πŸ“ƒ Full-Text] [GitHub logo Code]
  8. Stack Degradation Protection of FCEVs via Predictive Energy Management Strategy with Segmented Roads
    Geunyoung Park, Kyunghwan Choi, Dongsuk Kum*
    American Control Conference (ACC), pp. 3643-3649, 2024 [🌐 Online]

    9. 2023
  9. Reinforcement Learning-Based Collision Avoidance of a Connected and Automated Vehicle at Merging Roads
    Minseok Seo, Seongjae Shin, Kyungjoong Kim, Kyunghwan Choi*
    International Workshop on Intelligent Systems (IWIS), pp. 1-5, 2023 [🌐 Online]
  10. 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]
  11. Model Predictive Torque Control of Synchronous Machines Without a Current or Stator Flux Reference Generator
    Kyunghwan Choi, Ki-Bum Park*
    IEEE International Symposium on Industrial Electronics (ISIE), pp. 1-6, 2023 [🌐 Online]
  12. Stator Flux Linkage Estimation of Synchronous Machines Based on Integration Error Estimation for Improved Transient Performance
    Seunghun Jang, Kyunghwan Choi*
    IEEE Conference on Decision and Control (CDC), pp. 4197-4202, 2023 [🌐 Online] [πŸ“ƒ Full-Text] [GitHub logo Code]

    13. 2022
  13. A Comparison of DPWM and Inverter Loss Energy Based FCS-MPC for IPMSM
    Jongseok Kim, Jiho Song, Kyunghwan Choi*, Ki-Bum Park*
    2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC), pp. 943-948, 2022 [🌐 Online]

    14. 2020
  14. Proportional-Type Current Control of Permanent Magnet Synchronous Motor with Improved Transient Performance over a Wide Speed Range
    Kyunghwan Choi, Yonghun Kim, Seok-Kyoon Kim*, Kyung-Soo Kim*
    International Conference on Control, Automation and Systems (ICCAS), pp. 60-63, 2020 [🌐 Online]

    15. 2019
  15. A Fast and Accurate Numerical Method for Optimal Torque Control of Interior Permanent Magnet Synchronous Motors
    Kyunghwan Choi, Yonghun Kim, Seok-Kyoon Kim*, Kyung-Soo Kim*
    International Conference on Control, Automation and Systems (ICCAS), pp. 12-16, 2019 [🌐 Online]

    16. 2016
  16. Two-Channel Electrotactile Stimulation for Sensory Feedback of Fingers of Prosthesis
    Kyunghwan Choi, Pyungkang Kim, Kyung-Soo Kim*, Soohyun Kim
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 1133-1138, 2016 [🌐 Online]

Domestic Conference Papers


    2025
  1. Physics-Informed Online Learning for Stator Flux Linkage Estimation in Synchronous Machines
    λ™κΈ°μ „λ™κΈ°μ˜ μ‹€μ‹œκ°„ κ³ μ •μž μ‡„κ΅μžμ† 좔정을 μœ„ν•œ λ¬Όλ¦¬μ •λ³΄κΈ°λ°˜ ν•™μŠ΅
    Seunghun Jang, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), 2025 [πŸ“ƒ Full-Text]
  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. State-wise Safety in Autonomous Driving via Lagrangian-based Constrained Reinforcement Learning
    λΌκ·Έλž‘μ§€μ•ˆ 기반 μ œμ•½ κ°•ν™” ν•™μŠ΅μ„ ν†΅ν•œ μžμœ¨μ£Όν–‰ μ‹œμŠ€ν…œμ˜ μƒνƒœλ³„ μ•ˆμ •μ„± 보μž₯
    Minseok Seo, Kyunghwan Choi*
    ν•œκ΅­μžλ™μ°¨κ³΅ν•™νšŒ μΆ˜κ³„ν•™μˆ λŒ€νšŒ (KSAE), 2025

    4. 2024
  4. 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]
  5. Stator Flux Linkage Estimation of Nonlinear Synchronous Machines Based on the State Observer
    μƒνƒœ κ΄€μΈ‘κΈ° 기반 λΉ„μ„ ν˜• λ™κΈ°κΈ°μ˜ κ³ μ •μž μ‡„κ΅μžμ† μΆ”μ •
    Seunghun Jang, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), pp. 308-309, 2024 [🌐 DBpia Online] [πŸ“ƒ Full-Text]
  6. Neural Network-based Nonlinearity Estimation of Voltage Source Inverter for Synchronous Machine Drives
    동기전동기 κ΅¬λ™μš© 전압원 μΈλ²„ν„°μ˜ 인곡 신경망 기반 λΉ„μ„ ν˜•μ„± μΆ”μ •
    Yeongho Jeong, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), pp. 312-313, 2024 [🌐 DBpia Online] [πŸ“ƒ Full-Text]
  7. 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]

    8. 2023
  8. Path Control of a Connected and Automated Vehicle at Intersections and Merging Zones Using Attention Mechanism-Based Reinforcement Learning
    μ–΄ν…μ…˜ λ©”μ»€λ‹ˆμ¦˜ 기반 κ°•ν™”ν•™μŠ΅μ„ ν™œμš©ν•œ ꡐ차둜 및 ν•©λ₯˜ κ΅¬κ°„μ—μ„œμ˜ 컀λ„₯ν‹°λ“œ μžμœ¨μ£Όν–‰μ°¨ 경둜 μ œμ–΄
    Minseok Seo, Kyunghwan Choi*
    ν•œκ΅­μžλ™μ°¨κ³΅ν•™νšŒ μΆ”κ³„ν•™μˆ λŒ€νšŒ (KSAE), pp. 725, 2023 [🌐 DBpia Online]
  9. 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]
  10. Sator Flux Linkage Estimation Method of Synchronous Machines Based on Integration Error Estimation
    적뢄 였차 μΆ”μ • 기반 동기 μ „λ™κΈ°μ˜ 쇄ꡐ μžμ† μΆ”μ • 기법
    Seunghun Jang, Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS), pp. 177-178, 2023 [🌐 DBpia Online] [πŸ“ƒ Full-Text]
  11. 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. State-wise Safety in Autonomous Driving via Lagrangian-based Constrained Reinforcement Learning
    Minseok Seo, Kyunghwan Choi*
    Gwangju Institute of Science and Technology (GIST) Library, 2025 [πŸ“ƒ Full-Text]
  2. 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]

    3. 2024
  3. Online Stator Flux Linkage Estimation of Synchronous Machines
    Seunghun Jang, Kyunghwan Choi*
    Gwangju Institute of Science and Technology (GIST) Library, 2024 [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]
  2. A Lyapunov-Based Approach to Nonlinear Programming and Its Application to Nonlinear Model Predictive Torque Control
    Kyunghwan Choi, Christoph M. Hackl*
    Techrxiv, 2024 [🌐 Preprint Online] [πŸ“ƒ Preprint Full-Text]