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Kwang Ki Kevin Kim
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2020 – today
- 2024
- [j17]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: 100931 (2024) - [i11]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 abs/2401.15313 (2024) - 2023
- [j16]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: 37665-37680 (2023) - [j15]Won Hyung Lee, Kwang-Ki K. Kim
:
Outlier-Robust Extended Kalman Filter for State-of-Charge Estimation of Lithium-Ion Batteries. IEEE Access 11: 132766-132779 (2023) - [i10]Muhammad Kazim
, Michael Muldoon, Kwang-Ki K. Kim:
Adaptive Goal Management System of Robots. CoRR abs/2303.11535 (2023) - [i9]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 abs/2309.12566 (2023) - [i8]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 abs/2312.01004 (2023) - [i7]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 abs/2312.01015 (2023) - 2022
- [j14]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): 11098-11115 (2022) - [j13]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): 8367-8380 (2022) - [i6]Min-Gyeom Kim, Kwang-Ki K. Kim:
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots. CoRR abs/2208.02439 (2022) - 2021
- [j12]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: 90428-90440 (2021) - [j11]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: 103167-103183 (2021) - [i5]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 abs/2102.07326 (2021) - 2020
- [j10]Kwang-Ki K. Kim
:
Variational Inequality and Distributed Learning for a Bidding Game in Electricity Supply Markets. IEEE Access 8: 92235-92243 (2020) - [j9]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: 177896-177920 (2020) - [c16]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: 1-6
2010 – 2019
- 2018
- [j8]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: 251-262 (2018) - 2017
- [j7]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): 1896-1910 (2017) - 2016
- [j6]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: 111-120 (2016) - 2015
- [i4]Kwang-Ki K. Kim:
Mathematical Programs for Belief Propagation and Consensus. CoRR abs/1501.04538 (2015) - [i3]Kwang-Ki K. Kim:
A Note on the Convexity of $\log \det ( I + KX^{-1} )$ and its Constrained Optimization Representation. CoRR abs/1509.00777 (2015) - [i2]Kwang Ki Kevin Kim, Richard D. Braatz:
Stability Analysis of Discrete-time Lure Systems with Slope-restricted Odd Monotonic Nonlinearities. CoRR abs/1509.01302 (2015) - 2014
- [j5]Hong Jang, Jay H. Lee
, Richard D. Braatz
, Kwang Ki Kevin Kim
:
Fast moving horizon estimation for a two-dimensional distributed parameter system. Comput. Chem. Eng. 63: 159-172 (2014) - [j4]Kwang Ki Kevin Kim
, Sigurd Skogestad, Manfred Morari, Richard D. Braatz
:
Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures. Comput. Chem. Eng. 70: 67-77 (2014) - [j3]Kwang Ki Kevin Kim, Richard D. Braatz
:
Computational complexity and related topics of robustness margin calculation using μ theory: A review of theoretical developments. Comput. Chem. Eng. 70: 122-132 (2014) - [j2]Kwang Ki Kevin Kim, Naira Hovakimyan:
Multi-Criteria Optimization for Filter Design of L1 Adaptive Control. J. Optim. Theory Appl. 161(2): 557-581 (2014) - [c15]Kwang Ki Kevin Kim, Hong Jang, R. Bhushan Gopaluni, Jay H. Lee
, Richard D. Braatz
:
Sparse identification in chemical master equations for monomolecular reaction networks. ACC 2014: 3698-3703 - [c14]Kwang-Ki K. Kim, Jeff S. Shamma
:
Multi-agent sequential hypothesis testing. CDC 2014: 1942-1947 - [i1]Takashi Tanaka, Kwang-Ki K. Kim, Pablo A. Parrilo, Sanjoy K. Mitter:
Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-offs. CoRR abs/1411.7632 (2014) - 2013
- [j1]Kwang-Ki K. Kim, Richard D. Braatz:
Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control. Int. J. Control 86(8): 1324-1337 (2013) - [c13]Kwang Ki Kevin Kim, Richard D. Braatz:
Convex relaxation of sequential optimal input design for a class of structured large-scale systems: process gain estimation. ACC 2013: 3906-3911 - [c12]Kwang Ki Kevin Kim, Richard D. Braatz:
Robustness analysis of uncertain linear descriptor systems: Unified approaches using gLFTs, LMIs, and μ. ACC 2013: 5857-5862 - [c11]Kwang Ki Kevin Kim, Richard D. Braatz:
A characterization of solutions for general copositive quadratic Lyapunov inequalities. CDC 2013: 3397-3402 - [c10]Kwang Ki Kevin Kim, Richard D. Braatz:
Computational complexity of robust control: A review of theoretical and algorithmic developments. CDC 2013: 6391-6396 - [c9]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: 1934-1939 - [c8]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: 1940-1945 - 2012
- [c7]Kwang Ki Kevin Kim, Richard D. Braatz:
Generalized polynomial chaos expansion approaches to approximate stochastic receding horizon control with applications to probabilistic collision checking and avoidance. CCA 2012: 350-355 - [c6]Kwang Ki Kevin Kim, Richard D. Braatz:
Probabilistic analysis and control of uncertain dynamic systems: Generalized polynomial chaos expansion approaches. ACC 2012: 44-49 - [c5]Kwang Ki Kevin Kim, Richard D. Braatz:
Continuous- and discrete-time D-stability, joint D-stability, and their applications: μ theory and diagonal stability approaches. CDC 2012: 2896-2901 - 2011
- [c4]Kwang Ki Kevin Kim, Richard D. Braatz:
Observer-based output feedback control of discrete-time Lur'e systems with sector-bounded slope-restricted nonlinearities. ACC 2011: 2566-2571 - [c3]Kwang Ki Kevin Kim, Ernesto Rios-Patron, Richard D. Braatz:
Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results. CACSD 2011: 834-839 - [c2]Kwang Ki Kevin Kim, Ernesto Rios-Patron, Richard D. Braatz:
Standard representation and stability analysis of dynamic artificial neural networks: A unified approach. CACSD 2011: 840-845 - [c1]Kwang Ki Kevin Kim, Evgeny Kharisov, Naira Hovakimyan:
Filter Design for ℒ1 Adaptive Output-Feedback Controller. CDC/ECC 2011: 5653-5658
Coauthor Index
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