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Seunghyun Kim
Seunghyun Kim
Seoul National University, Hyundai Motor Company
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Utilizing online learning based on echo-state networks for the control of a hydraulic excavator
J Park, D Cho, S Kim, YB Kim, PY Kim, HJ Kim
Mechatronics 24 (8), 986-1000, 2014
472014
Robust translational force control of multi-rotor UAV for precise acceleration tracking
SJ Lee, SH Kim, HJ Kim
IEEE Transactions on Automation Science and Engineering 17 (2), 562-573, 2019
282019
A Robust Control Approach for Hydraulic Excavators Using ¥ì-synthesis
S Kim, J Park, S Kang, PY Kim, HJ Kim
International Journal of Control, Automation and Systems 16, 1615-1628, 2018
282018
Path tracking for a hydraulic excavator utilizing proportional-derivative and linear quadratic control
S Kang, J Park, S Kim, B Lee, Y Kim, P Kim, HJ Kim
2014 IEEE Conference on Control Applications (CCA), 808-813, 2014
212014
Force and moment blending control for agile dual missiles
S Kim, D Cho, HJ Kim
2013 American Control Conference, 5574-5580, 2013
122013
Force and moment blending control for fast response of agile dual missiles
S Kim, D Cho, HJ Kim
IEEE Transactions on Aerospace and Electronic Systems 52 (2), 938-947, 2016
62016
Robust Control of Commercial Vehicle¡¯s Speed Using Disturbance Observer
K Bang, S Kim, KIM Donghyuk, KIM Ilhwan
SAE Technical Paper, 2021
22021
Lateral Control of a Commercial Vehicle Using Feedback Augmented Disturbance Observer
S Kim, J Park, U Baek, J Nam, D Kim
SAE Technical Paper, 2022
2022
Adaptive sliding mode control for dual missile using RBF neural network
S Kim, D Cho, HJ Kim
2014 14th International Conference on Control, Automation and Systems (ICCAS ¡¦, 2014
2014
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