Observer-based output feedback control of discrete-time Lur'e systems with sector-bounded slope-restricted nonlinearities. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2011)

Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results. - Kwang Ki Kevin Kim; Ernesto Rios-Patron; Richard D. Braatz (CACSD, 2011)

Standard representation and stability analysis of dynamic artificial neural networks: A unified approach. - Kwang Ki Kevin Kim; Ernesto Rios-Patron; Richard D. Braatz (CACSD, 2011)

Filter Design for ℒ1 Adaptive Output-Feedback Controller. - Kwang Ki Kevin Kim; Evgeny Kharisov; Naira Hovakimyan (CDC/ECC, 2011)

Generalized polynomial chaos expansion approaches to approximate stochastic receding horizon control with applications to probabilistic collision checking and avoidance. - Kwang Ki Kevin Kim; Richard D. Braatz (CCA, 2012)

Probabilistic analysis and control of uncertain dynamic systems: Generalized polynomial chaos expansion approaches. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2012)

Continuous- and discrete-time D-stability, joint D-stability, and their applications: μ theory and diagonal stability approaches. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2012)

Convex relaxation of sequential optimal input design for a class of structured large-scale systems: process gain estimation. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2013)

Robustness analysis of uncertain linear descriptor systems: Unified approaches using gLFTs, LMIs, and μ. - Kwang Ki Kevin Kim; Richard D. Braatz (ACC, 2013)

A characterization of solutions for general copositive quadratic Lyapunov inequalities. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2013)

Computational complexity of robust control: A review of theoretical and algorithmic developments. - Kwang Ki Kevin Kim; Richard D. Braatz (CDC, 2013)

Semidefinite programming relaxation of optimum active input design for fault detection and diagnosis: Model-based finite horizon prediction. - Kwang-Ki K. Kim; Richard D. Braatz (ECC, 2013)

Optimum input design for fault detection and diagnosis: Model-based prediction and statistical distance measures. - Kwang-Ki K. Kim; Davide Martino Raimondo; Richard D. Braatz (ECC, 2013)

Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control. - Kwang-Ki K. Kim; Richard D. Braatz (Int. J. Control, 2013)

Sparse identification in chemical master equations for monomolecular reaction networks. - Kwang Ki Kevin Kim; Hong Jang; R. Bhushan Gopaluni; Jay H. Lee; Richard D. Braatz (ACC, 2014)

Multi-agent sequential hypothesis testing. - Kwang-Ki K. Kim; Jeff S. Shamma (CDC, 2014)

Fast moving horizon estimation for a two-dimensional distributed parameter system. - Hong Jang; Jay H. Lee; Richard D. Braatz; Kwang Ki Kevin Kim (Comput. Chem. Eng., 2014)

Computational complexity and related topics of robustness margin calculation using μ theory: A review of theoretical developments. - Kwang Ki Kevin Kim; Richard D. Braatz (Comput. Chem. Eng., 2014)

Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures. - Kwang Ki Kevin Kim; Sigurd Skogestad; Manfred Morari; Richard D. Braatz (Comput. Chem. Eng., 2014)

Multi-Criteria Optimization for Filter Design of L1 Adaptive Control. - Kwang Ki Kevin Kim; Naira Hovakimyan (J. Optim. Theory Appl., 2014)

Mathematical Programs for Belief Propagation and Consensus. - Kwang-Ki K. Kim (CoRR, 2015)

A Note on the Convexity of $ log det ( I + KX^{-1} )$ and its Constrained Optimization Representation. - Kwang-Ki K. Kim (CoRR, 2015)

Stability Analysis of Discrete-time Lure Systems with Slope-restricted Odd Monotonic Nonlinearities. - Kwang Ki Kevin Kim; Richard D. Braatz (CoRR, 2015)

Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks. - Hong Jang; Kwang-Ki K. Kim; Richard D. Braatz; R. Bhushan Gopaluni; Jay H. Lee (Comput. Chem. Eng., 2016)

Semidefinite Programming Approach to Gaussian Sequential Rate-Distortion Trade-Offs. - Takashi Tanaka; Kwang-Ki K. Kim; Pablo A. Parrilo; Sanjoy K. Mitter (IEEE Trans. Autom. Control., 2017)

Standard representation and unified stability analysis for dynamic artificial neural network models. - Kwang-Ki K. Kim; Ernesto Rios-Patron; Richard D. Braatz (Neural Networks, 2018)

Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Practical Design and Implementation for Real-World Commercial PHEVs. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (ITSC, 2020)

Variational Inequality and Distributed Learning for a Bidding Game in Electricity Supply Markets. - Kwang-Ki K. Kim (IEEE Access, 2020)

Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles. - Jinsung Kim; Hoonhee Kim; Jinwoo Bae; Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Access, 2020)

Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Access, 2021)

Distributed Moving Horizon Estimation via Operator Splitting for Automated Robust Power System State Estimation. - Jinsung Kim; Ji-Han Kang; Jinwoo Bae; Wonhyung Lee; Kwang-Ki K. Kim (IEEE Access, 2021)

MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots. - Min-Gyeom Kim; Kwang-Ki K. Kim (CoRR, 2022)

Service-Oriented Real-Time Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles. - Dohee Kim; Jeong Soo Eo; Kwang-Ki K. Kim (IEEE Trans. Intell. Transp. Syst., 2022)

Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles. - Jin Woo Bae; Kwang-Ki K. Kim (IEEE Trans. Veh. Technol., 2022)

Model Predictive Control for Energy-Efficient Yaw-Stabilizing Torque Vectoring in Electric Vehicles With Four In-Wheel Motors. - Sang Hyuk Kim; Kwang-Ki K. Kim (IEEE Access, 2023)

Outlier-Robust Extended Kalman Filter for State-of-Charge Estimation of Lithium-Ion Batteries. - Won Hyung Lee; Kwang-Ki K. Kim (IEEE Access, 2023)

Adaptive Goal Management System of Robots. - Muhammad Kazim 002; Michael Muldoon; Kwang-Ki K. Kim (CoRR, 2023)

Learning-based Ecological Adaptive Cruise Control of Autonomous Electric Vehicles: A Comparison of ADP, DQN and DDPG Approaches. - Sunwoo Kim; Kwang-Ki K. Kim (CoRR, 2023)

Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control. - Muhammad Kazim 002; Hyunjae Sim; Gihun Shin; Hwancheol Hwang; Kwang-Ki K. Kim (CoRR, 2023)

Recent advances in path integral control for trajectory optimization: An overview in theoretical and algorithmic perspectives. - Muhammad Kazim 002; JunGee Hong; Min-Gyeom Kim; Kwang-Ki K. Kim (Annu. Rev. Control., 2024)

Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization. - Kihoon Shin; Hyunjae Sim; Seungwon Nam; Yonghee Kim; Jae Hu; Kwang-Ki K. Kim (CoRR, 2024)

evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles. - Minwoo Gwon; Jiwon Kim; Seungjun Yoo; Kwang-Ki K. Kim (CoRR, 2024)

MPPI-IPDDP: A Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots. - Min-Gyeom Kim; Minchan Jung; JunGee Hong; Kwang-Ki K. Kim (IEEE Trans. Ind. Informatics, 2025)