Donghwa Hong
Donghwa Hong / 홍동화
Researcher
fairytale@kaist.ac.kr
0009-0001-2462-6249
Google Scholar
fairytalef00
12765248

Description

Donghwa Hong is a Researcher at the Cho Chun Shik Graduate School of Mobility, KAIST, and a member of the Mobility Intelligence and Control Laboratory (MIC Lab).

His research focuses on learning-based identification of uncertain dynamics and state and parameter estimation, with applications to vehicle and robotic systems.

He received his B.S. degree in Physics from Yonsei University (Wonju) in 2023 and his M.S. degree in Mechanical and Robotics Engineering from the Gwangju Institute of Science and Technology (GIST) in 2026.


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]

International Conference Papers


    2026
  1. Online Learning of Control-Oriented Lateral Tire-Force Maps for Vehicle MPC
    Donghwa Hong , Kyunghwan Choi*
    International Workshop on Intelligent Systems (IWIS) , pp. 1-4, 2026 [🌐 Online]
  2. Integral Error-Based Adaptive Neural Identifier for Nonlinear Lateral Tire Forces
    Donghwa Hong , Kyunghwan Choi*
    IEEE International Conference on Advanced Motion Control (AMC) , pp. 1-6, 2026 [🌐 Online] [πŸ“ƒ Full-Text]

Domestic Conference Papers


    2026
  1. State-Error-Based Online Learning of Control-Oriented Tire Force Models Using Grid Memory
    μ œμ–΄ μ§€ν–₯ 타이어 횑λ ₯ λͺ¨λΈμ˜ κ·Έλ¦¬λ“œ λ©”λͺ¨λ¦¬λ₯Ό μ΄μš©ν•œ μƒνƒœ 였차 기반 온라인 ν•™μŠ΅

    Donghwa Hong , Kyunghwan Choi*
    μ œμ–΄λ‘œλ΄‡μ‹œμŠ€ν…œν•™νšŒ (ICROS) (accepted, in press), 2026 [πŸ“ƒ Full-Text]

Master's Theses


    2026
  1. Integral Error-Based Adaptive Neural Identifier for a Class of Uncertain Nonlinear Systems
    Donghwa Hong , Kyunghwan Choi*
    Gwangju Institute of Science and Technology (GIST) Library, 2026 [πŸ“ƒ Full-Text]