Kyunghwan Choi
Orcid: 0000-0002-4832-1597
According to our database1,
Kyunghwan Choi
authored at least 20 papers
between 2016 and 2024.
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Bibliography
2024
An Analytical Approach to the Predictive Energy Management of Connected HEVs: What Information Do We Need to Guarantee Global Optimality?
IEEE Trans. Intell. Transp. Syst., September, 2024
Neural Network-based Nonlinearity Estimation of Voltage Source Inverter for Synchronous Machine Drives.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
Extended State Observer Based Stator Flux Linkage Estimation of Nonlinear Synchronous Machines.
Proceedings of the 33rd IEEE International Symposium on Industrial Electronics, 2024
Stack Degradation Protection of FCEVs via Predictive Energy Management Strategy with Segmented Roads.
Proceedings of the American Control Conference, 2024
2023
Decision biases in the capacity expansion problems with product importance perceptions.
Int. J. Appl. Decis. Sci., 2023
Real-Time Predictive Energy Management Strategy for Fuel Cell-Powered Unmanned Aerial Vehicles Based on the Control-Oriented Battery Model.
IEEE Control. Syst. Lett., 2023
Reinforcement Learning-Based Collision Avoidance of a Connected and Automated Vehicle at Merging Roads.
Proceedings of the International Workshop on Intelligent Systems, 2023
A Comparative Study of Reinforcement Learning and Analytical Methods for Optimal Control.
Proceedings of the International Workshop on Intelligent Systems, 2023
Model Predictive Torque Control of Synchronous Machines Without a Current or Stator Flux Reference Generator.
Proceedings of the 32nd IEEE International Symposium on Industrial Electronics, 2023
Stator Flux Linkage Estimation of Synchronous Machines Based on Integration Error Estimation for Improved Transient Performance.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) for the HEVs With a Near-Optimal Equivalent Factor Considering Driving Conditions.
IEEE Trans. Veh. Technol., 2022
Computationally Efficient Model Predictive Torque Control of Permanent Magnet Synchronous Machines Using Numerical Techniques.
IEEE Trans. Control. Syst. Technol., 2022
2021
Current and Position Sensor Fault Diagnosis Algorithm for PMSM Drives Based on Robust State Observer.
IEEE Trans. Ind. Electron., 2021
Real-Time Optimal Torque Control of Interior Permanent Magnet Synchronous Motors Based on a Numerical Optimization Technique.
IEEE Trans. Control. Syst. Technol., 2021
Legion: Tailoring Grouped Neural Execution Considering Heterogeneity on Multiple Edge Devices.
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
2020
Towards User Friendly Medication Mapping Using Entity-Boosted Two-Tower Neural Network.
CoRR, 2020
PreScaler: an efficient system-aware precision scaling framework on heterogeneous systems.
Proceedings of the CGO '20: 18th ACM/IEEE International Symposium on Code Generation and Optimization, 2020
2019
Using the Stator Current Ripple Model for Real-Time Estimation of Full Parameters of a Permanent Magnet Synchronous Motor.
IEEE Access, 2019
2016
Two-channel electrotactile stimulation for sensory feedback of fingers of prosthesis.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016