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    • Conference Paper

    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. 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) 2024 accepted [Online] [PDF]
    5. 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) 2024 accepted [Online] [PDF]
    6. 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]
    7. 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) 2023 accepted [Online] [PDF]