Kwang-Ki K. Kim

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 20

Top Topics

Hypothesis Test

Kalman Filtering

Predictive Control

Electric Vehicles

Top Venues

Annu. Rev. Control.

Publications

Kihoon Shin, Hyunjae Sim, Seungwon Nam, Yonghee Kim, Jae Hu, Kwang-Ki K. Kim
Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization. CoRR (2024)
Muhammad Kazim, JunGee Hong, Min-Gyeom Kim, Kwang-Ki K. Kim
Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives. Annu. Rev. Control. 57 (2024)
Muhammad Kazim, Hyunjae Sim, Gihun Shin, Hwancheol Hwang, Kwang-Ki K. Kim
Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control. CoRR (2023)
Sang Hyuk Kim, Kwang-Ki K. Kim
Model Predictive Control for Energy-Efficient Yaw-Stabilizing Torque Vectoring in Electric Vehicles With Four In-Wheel Motors. IEEE Access 11 (2023)
Won Hyung Lee, Kwang-Ki K. Kim
Outlier-Robust Extended Kalman Filter for State-of-Charge Estimation of Lithium-Ion Batteries. IEEE Access 11 (2023)
Muhammad Kazim, Michael Muldoon, Kwang-Ki K. Kim
Adaptive Goal Management System of Robots. CoRR (2023)
Sunwoo Kim, Kwang-Ki K. Kim
Learning-based Ecological Adaptive Cruise Control of Autonomous Electric Vehicles: A Comparison of ADP, DQN and DDPG Approaches. CoRR (2023)
Muhammad Kazim, JunGee Hong, Min-Gyeom Kim, Kwang-Ki K. Kim
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives. CoRR (2023)
Jin Woo Bae, Kwang-Ki K. Kim
Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles. IEEE Trans. Veh. Technol. 71 (8) (2022)
Min-Gyeom Kim, Kwang-Ki K. Kim
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots. CoRR (2022)
Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
Service-Oriented Real-Time Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach. IEEE Access 9 (2021)
Jinsung Kim, Ji-Han Kang, Jinwoo Bae, Wonhyung Lee, Kwang-Ki K. Kim
Distributed Moving Horizon Estimation via Operator Splitting for Automated Robust Power System State Estimation. IEEE Access 9 (2021)
Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach. CoRR (2021)
Jinsung Kim, Hoonhee Kim, Jinwoo Bae, Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles. IEEE Access 8 (2020)
Kwang-Ki K. Kim
Variational Inequality and Distributed Learning for a Bidding Game in Electricity Supply Markets. IEEE Access 8 (2020)
Dohee Kim, Jeong Soo Eo, Kwang-Ki K. Kim
Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Practical Design and Implementation for Real-World Commercial PHEVs. ITSC (2020)
Kwang-Ki K. Kim, Ernesto Rios-Patron, Richard D. Braatz
Standard representation and unified stability analysis for dynamic artificial neural network models. Neural Networks 98 (2018)
Takashi Tanaka, Kwang-Ki K. Kim, Pablo A. Parrilo, Sanjoy K. Mitter
Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-Offs. IEEE Trans. Autom. Control. 62 (4) (2017)
Hong Jang, Kwang-Ki K. Kim, Richard D. Braatz, R. Bhushan Gopaluni, Jay H. Lee
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. Comput. Chem. Eng. 90 (2016)
Kwang-Ki K. Kim
A Note on the Convexity of $\log \det ( I + KX^{-1} )$ and its Constrained Optimization Representation. CoRR (2015)
Kwang-Ki K. Kim
Mathematical Programs for Belief Propagation and Consensus. CoRR (2015)
Kwang-Ki K. Kim, Jeff S. Shamma
Multi-agent sequential hypothesis testing. CDC (2014)
Takashi Tanaka, Kwang-Ki K. Kim, Pablo A. Parrilo, Sanjoy K. Mitter
Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-offs. CoRR (2014)
Kwang-Ki K. Kim, Richard D. Braatz
Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control. Int. J. Control 86 (8) (2013)
Kwang-Ki K. Kim, Richard D. Braatz
Semidefinite programming relaxation of optimum active input design for fault detection and diagnosis: Model-based finite horizon prediction. ECC (2013)
Kwang-Ki K. Kim, Davide Martino Raimondo, Richard D. Braatz
Optimum input design for fault detection and diagnosis: Model-based prediction and statistical distance measures. ECC (2013)