Kwang Ki Kevin Kim
Orcid: 0000-0002-6324-3283
According to our database1,
Kwang Ki Kevin Kim
authored at least 41 papers
between 2011 and 2024.
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Bibliography
2024
Multi-Robot Relative Pose Estimation in SE(2) with Observability Analysis: A Comparison of Extended Kalman Filtering and Robust Pose Graph Optimization.
CoRR, 2024
2023
Aggressive Trajectory Tracking for Nano Quadrotors Using Embedded Nonlinear Model Predictive Control.
CoRR, 2023
Learning-based Ecological Adaptive Cruise Control of Autonomous Electric Vehicles: A Comparison of ADP, DQN and DDPG Approaches.
CoRR, 2023
Recent Advances in Path Integral Control for Trajectory Optimization: An Overview in Theoretical and Algorithmic Perspectives.
CoRR, 2023
Outlier-Robust Extended Kalman Filter for State-of-Charge Estimation of Lithium-Ion Batteries.
IEEE Access, 2023
Model Predictive Control for Energy-Efficient Yaw-Stabilizing Torque Vectoring in Electric Vehicles With Four In-Wheel Motors.
IEEE Access, 2023
2022
Gaussian Process Approximate Dynamic Programming for Energy-Optimal Supervisory Control of Parallel Hybrid Electric Vehicles.
IEEE Trans. Veh. Technol., 2022
Service-Oriented Real-Time Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022
MPPI-IPDDP: Hybrid Method of Collision-Free Smooth Trajectory Generation for Autonomous Robots.
CoRR, 2022
2021
Distributed Moving Horizon Estimation via Operator Splitting for Automated Robust Power System State Estimation.
IEEE Access, 2021
Parameterized Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Real-Time Dynamic Programming Approach.
IEEE Access, 2021
2020
Economic Nonlinear Predictive Control for Real-Time Optimal Energy Management of Parallel Hybrid Electric Vehicles.
IEEE Access, 2020
Variational Inequality and Distributed Learning for a Bidding Game in Electricity Supply Markets.
IEEE Access, 2020
Energy-Optimal Regenerative Braking Strategy for Connected and Autonomous Electrified Vehicles: A Practical Design and Implementation for Real-World Commercial PHEVs.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
2018
Standard representation and unified stability analysis for dynamic artificial neural network models.
Neural Networks, 2018
2017
IEEE Trans. Autom. Control., 2017
2016
Regularized maximum likelihood estimation of sparse stochastic monomolecular biochemical reaction networks.
Comput. Chem. Eng., 2016
2015
Stability Analysis of Discrete-time Lure Systems with Slope-restricted Odd Monotonic Nonlinearities.
CoRR, 2015
A Note on the Convexity of $\log \det ( I + KX^{-1} )$ and its Constrained Optimization Representation.
CoRR, 2015
2014
J. Optim. Theory Appl., 2014
Necessary and sufficient conditions for robust reliable control in the presence of model uncertainties and system component failures.
Comput. Chem. Eng., 2014
Computational complexity and related topics of robustness margin calculation using μ theory: A review of theoretical developments.
Comput. Chem. Eng., 2014
Comput. Chem. Eng., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Sparse identification in chemical master equations for monomolecular reaction networks.
Proceedings of the American Control Conference, 2014
2013
Generalised polynomial chaos expansion approaches to approximate stochastic model predictive control.
Int. J. Control, 2013
Optimum input design for fault detection and diagnosis: Model-based prediction and statistical distance measures.
Proceedings of the 12th European Control Conference, 2013
Semidefinite programming relaxation of optimum active input design for fault detection and diagnosis: Model-based finite horizon prediction.
Proceedings of the 12th European Control Conference, 2013
Computational complexity of robust control: A review of theoretical and algorithmic developments.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
A characterization of solutions for general copositive quadratic Lyapunov inequalities.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Robustness analysis of uncertain linear descriptor systems: Unified approaches using gLFTs, LMIs, and μ.
Proceedings of the American Control Conference, 2013
Convex relaxation of sequential optimal input design for a class of structured large-scale systems: process gain estimation.
Proceedings of the American Control Conference, 2013
2012
Continuous- and discrete-time D-stability, joint D-stability, and their applications: μ theory and diagonal stability approaches.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Probabilistic analysis and control of uncertain dynamic systems: Generalized polynomial chaos expansion approaches.
Proceedings of the American Control Conference, 2012
Generalized polynomial chaos expansion approaches to approximate stochastic receding horizon control with applications to probabilistic collision checking and avoidance.
Proceedings of the IEEE International Conference on Control Applications, 2012
2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Standard representation and stability analysis of dynamic artificial neural networks: A unified approach.
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011
Universal approximation with error bounds for dynamic artificial neural network models: A tutorial and some new results.
Proceedings of the 2011 IEEE International Symposium on Computer-Aided Control System Design, 2011
Observer-based output feedback control of discrete-time Lur'e systems with sector-bounded slope-restricted nonlinearities.
Proceedings of the American Control Conference, 2011