Control over TCP-like lossy networks: A dynamic game approach. - Jun Moon; Tamer Basar (ACC, 2013)

Estimation over lossy networks: A dynamic game approach. - Jun Moon; Tamer Basar (CDC, 2013)

Control over lossy networks: A dynamic game approach. - Jun Moon; Tamer Basar (ACC, 2014)

Linear-quadratic risk-sensitive mean field games. - Jun Moon; Tamer Basar (CDC, 2014)

Discrete-time LQG mean field games with unreliable communication. - Jun Moon; Tamer Basar (CDC, 2014)

Discrete-time decentralized control using the risk-sensitive performance criterion in the large population regime: A mean field approach. - Jun Moon; Tamer Basar (ACC, 2015)

Linear-quadratic stochastic differential Stackelberg games with a high population of followers. - Jun Moon; Tamer Basar (CDC, 2015)

Minimax control over unreliable communication channels. - Jun Moon; Tamer Basar (Autom., 2015)

Minimax estimation with intermittent observations. - Jun Moon; Tamer Basar (Autom., 2015)

Control and estimation with limited information: a game-theoretic approach - Jun Moon (2015)

Discrete-time stochastic Stackelberg dynamic games with a large number of followers. - Jun Moon; Tamer Basar (CDC, 2016)

Robust mean field games for coupled Markov jump linear systems. - Jun Moon; Tamer Basar (Int. J. Control, 2016)

Decentralized optimal control for large populations of two-wheeled vehicles. - Myoung-Hoon Lee; Kyu Taek Oh; Katherine A. Kim; Jun Moon (IECON, 2017)

Static Optimal Sensor Selection via Linear Integer Programming: The Orthogonal Case. - Jun Moon; Tamer Basar (IEEE Signal Process. Lett., 2017)

Linear Quadratic Risk-Sensitive and Robust Mean Field Games. - Jun Moon; Tamer Basar (IEEE Trans. Autom. Control., 2017)

The Stochastic Maximum Principle for Risk-Sensitive Optimal Control with Delay and Applications. - Myoung-Hoon Lee; Jun Moon (CDC, 2018)

Observer-Based Super-Twisting Sliding Mode Control with Fuzzy Variable Gains and its Application to Overactuated Quadrotors. - Ngo Phong Nguyen; Wonhee Kim; Jun Moon (CDC, 2018)

Linear quadratic mean field Stackelberg differential games. - Jun Moon; Tamer Basar (Autom., 2018)

Robustness of Hierarchical Schemes for Multi-agent Systems. - Ali Raza; Muhammad Iqbal; Jun Moon (ASCC, 2019)

Stochastic Zero-Sum Differential Games for Forward-Backward SDEs. - Jun Moon; Tamer Basar (CDC, 2019)

A Characterization of Backward Reachable Sets for Nonlinear Dynamical Systems via the Pseudospectral Legendre Method. - Myoung-Hoon Lee; Jae Hwa Lee; Jun Moon (ECC, 2019)

Adaptive Integral Super-Twisting Sliding Mode Control for Uncertain Stochastic Systems. - Ngo Phong Nguyen; Hyun Jong Yang; Hyondong Oh; Jun Moon (ECC, 2019)

Risk-Sensitive Mean Field Games via the Stochastic Maximum Principle. - Jun Moon; Tamer Basar (Dyn. Games Appl., 2019)

Leader-follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach. - Myoung-Hoon Lee; Ngo Phong Nguyen; Jun Moon (J. Frankl. Inst., 2019)

Super-twisting observer-based sliding mode control with fuzzy variable gains and its applications to fully-actuated hexarotors. - Ngo Phong Nguyen; Wonhee Kim; Jun Moon (J. Frankl. Inst., 2019)

A Sufficient Condition for Linear-Quadratic Stochastic Zero-Sum Differential Games for Markov Jump Systems. - Jun Moon (IEEE Trans. Autom. Control., 2019)

Risk-Sensitive Zero-Sum Differential Games. - Jun Moon; Tyrone E. Duncan; Tamer Basar (IEEE Trans. Autom. Control., 2019)

Linear Exponential Quadratic Control for Mean Field Stochastic Systems. - Jun Moon; Yoonsoo Kim 001 (IEEE Trans. Autom. Control., 2019)

Sensitivity-based link addition for robust dynamical networks. - Vahid Hamdipoor; Jun Moon; Yoonsoo Kim 001 (CDC, 2020)

Attitude Control and Reachability Analysis for Unmanned Helicopters via the Zonotopic Kalman Filtering. - Hendra G. Harno; Jun Moon; Yoonsoo Kim 001 (CDC, 2020)

Stochastic Control with Random Coefficients under Recursive-Type Objective Functionals. - Jun Moon; Yoonsoo Kim 001 (CDC, 2020)

Adaptive Nonlinear Output Tracking Control With Rejection of Unmatched Biased Sinusoidal Disturbances for Nonlinear Systems. - Wonhee Kim; Jun Moon (IEEE Access, 2020)

Fuzzy-Based Super-Twisting Sliding Mode Stabilization Control for Under-Actuated Rotary Inverted Pendulum Systems. - Ngo Phong Nguyen; Hyondong Oh; Yoonsoo Kim 001; Jun Moon; Jun Yang 011; Wen-Hua Chen 001 (IEEE Access, 2020)

Extended State Observer Based Robust Position Tracking Control Using Nonlinear Damping Gain for Quadrotors With External Disturbance. - Sesun You; Gwanyeon Kim; Jun Moon; Wonhee Kim (IEEE Access, 2020)

Linear-quadratic mean field stochastic zero-sum differential games. - Jun Moon (Autom., 2020)

The risk-sensitive maximum principle for controlled forward-backward stochastic differential equations. - Jun Moon (Autom., 2020)

Disturbance Observer-Based Continuous Finite-Time Sliding Mode Control against Matched and Mismatched Disturbances. - Ngo Phong Nguyen; Hyondong Oh; Yoonsoo Kim 001; Jun Moon (Complex., 2020)

A Feedback Nash Equilibrium for Affine-Quadratic Zero-Sum Stochastic Differential Games With Random Coefficients. - Jun Moon (IEEE Control. Syst. Lett., 2020)

Partially-observed decentralized optimal control for large population two-wheeled vehicles: A differential game approach. - Myoung-Hoon Lee; Jun Moon (J. Frankl. Inst., 2020)

A Simple Proof of Indefinite Linear-Quadratic Stochastic Optimal Control With Random Coefficients. - Jun Moon; Tyrone E. Duncan (IEEE Trans. Autom. Control., 2020)

Infinity-Norm-Based Worst-Case Collision Avoidance Control for Quadrotors. - Yuna Oh; Myoung-Hoon Lee; Jun Moon (IEEE Access, 2021)

Zero-sum differential games on the Wasserstein space. - Tamer Basar; Jun Moon (Commun. Inf. Syst., 2021)

Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach. - Myoung-Hoon Lee; Jun Moon (CoRR, 2021)

Sensitivity-based link addition for robust linear dynamical networks. - Vahid Hamdipoor; Jun Moon; Yoonsoo Kim 001 (J. Frankl. Inst., 2021)

Stability margin of undirected homogeneous relative sensing networks: A geometric perspective. - Vahid Hamdipoor; Jun Moon; Yoonsoo Kim 001 (Syst. Control. Lett., 2021)

Linear-Quadratic Stochastic Stackelberg Differential Games for Jump-Diffusion Systems. - Jun Moon (SIAM J. Control. Optim., 2021)

Generalized Risk-Sensitive Optimal Control and Hamilton-Jacobi-Bellman Equation. - Jun Moon (IEEE Trans. Autom. Control., 2021)

Linear-Quadratic Time-Inconsistent Mean-Field Type Stackelberg Differential Games: Time-Consistent Open-Loop Solutions. - Jun Moon; Hyun Jong Yang (IEEE Trans. Autom. Control., 2021)

Maximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front. - Seonjae Lee; Myoung-Hoon Lee; Jun Moon (CIKM, 2022)

State and Control Path-Dependent Stochastic Optimal Control With Jumps. - Jun Moon (IEEE Trans. Autom. Control., 2022)

Dynamic Programming and a Verification Theorem for the Recursive Stochastic Control Problem of Jump-Diffusion Models With Random Coefficients. - Jun Moon; Tamer Basar (IEEE Trans. Autom. Control., 2022)

Continuous Nonsingular Terminal Sliding-Mode Control With Integral-Type Sliding Surface for Disturbed Systems: Application to Attitude Control for Quadrotor UAVs Under External Disturbances. - Ngo Phong Nguyen; Hyondong Oh; Jun Moon (IEEE Trans. Aerosp. Electron. Syst., 2022)

Transformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning. - Namyeong Lee; Jun Moon (AAMAS, 2023)

Nonstandard Linear-Quadratic Decision Making. - Tamer Basar; Jun Moon; Jiongmin Yong; Huanshui Zhang (CDC, 2023)

Offline Reinforcement Learning for Automated Stock Trading. - Namyeong Lee; Jun Moon (IEEE Access, 2023)

Linear-quadratic stochastic leader-follower differential games for Markov jump-diffusion models. - Jun Moon (Autom., 2023)

Multivariable Disturbance Observer-Based Finite-Time Sliding Mode Attitude Control for Fixed-Wing UAVs Under Matched and Mismatched Disturbances. - Ngo Phong Nguyen; Hyondong Oh; Jun Moon; Yoonsoo Kim 001 (IEEE Control. Syst. Lett., 2023)

Deep reinforcement learning-based model-free path planning and collision avoidance for UAVs: A soft actor-critic with hindsight experience replay approach. - Myoung-Hoon Lee; Jun Moon (ICT Express, 2023)

Fuzzy Event-Triggered Super Twisting Sliding Mode Control for Position Tracking of Permanent Magnet Synchronous Motors Under Unknown Disturbances. - Jaehyoung Gu; Sesun You; Wonhee Kim; Jun Moon (IEEE Trans. Ind. Informatics, 2023)

Offline Goal-Conditioned Model-Based Reinforcement Learning in Pixel-Based Environment. - Seongsu Kim; Jun Moon (ICTC, 2024)

Catching Robot: Predicting the Trajectory of a Rolling Ball Using Transformer. - Namyeong Lee; Yuna Oh; Jun Moon (IEEE Access, 2024)

Koopman-Based Control System for Quadrotors in Noisy Environments. - Yuna Oh; Myoung-Hoon Lee; Jun Moon (IEEE Access, 2024)

Deep Reinforcement Learning-Based Active Network Management and Emergency Load-Shedding Control for Power Systems. - Haotian Zhang; Xinfeng Sun; Myoung-Hoon Lee; Jun Moon (IEEE Trans. Smart Grid, 2024)

Remote Estimation for Dynamic IoT Sources Under Sublinear Communication Costs. - Jihyeon Yun; Atilla Eryilmaz; Jun Moon; Changhee Joo (IEEE/ACM Trans. Netw., 2024)

Finite-Time Continuous Nonsingular Terminal Modified Adaptive-Gain Super-Twisting Control: Application to a 2-DOF Planar Robot Manipulator System. - Ngo Phong Nguyen; Hyondong Oh; Jun Moon (IEEE Trans. Cybern., 2024)

LiDAR-Based 3D Temporal Object Detection via Motion-Aware LiDAR Feature Fusion. - Gyuhee Park; Junho Koh; Jisong Kim; Jun Moon; Jun Won Choi (Sensors, 2024)

Separation Principle for Partially Observed Linear-Quadratic Optimal Control for Mean-Field Type Stochastic Systems. - Jun Moon; Tamer Basar (IEEE Trans. Autom. Control., 2024)

EMIKNet: Expanding Multiple-Instance Inverse Kinematics Network for Multiple End-Effector and Multiple Solutions. - Youn-Jae Go; Jun Moon (IEEE Access, 2025)

Extended State Observer-Based Robust Model Predictive Velocity Control for Permanent Magnet Synchronous Motor. - Eunji Lee; Yonghao Gui; Sesun You; Jun Moon; Wonhee Kim (IEEE Access, 2025)

GOME-NGU: Visual Navigation Under Sparse Reward via Goal-Oriented Memory Encoder With Never Give Up. - Ji Sue Lee; Jun Moon (IEEE Access, 2025)

Option-Based Deep Reinforcement Learning for Topology Control of Power Systems. - Haotian Zhang; Chen Wang 147; Myoung-Hoon Lee; Jun Moon (IEEE Access, 2025)

Extended state observer-actor-critic architecture based output-feedback optimized backstepping control for permanent magnet synchronous motors. - Jinyoung Lee; Sesun You; Wonhee Kim; Jun Moon (Expert Syst. Appl., 2025)

A Feedback-Type Optimal Solution for Partially-Observed Linear-Quadratic Risk-Sensitive Optimal Control Problem of Mean-Field Type Stochastic Systems. - Yuna Oh; Jun Moon (IEEE Trans. Autom. Control., 2025)

Weight vector selection methods by hypervolume maximization in the Pareto front for single policy multi-objective reinforcement learning. - Seonjae Lee; Myoung Hoon Lee; Jun Moon (Expert Syst. Appl., 2026)