Publications

Selected Conference and Journal Papers on Control Applications

  • Myoung Hoon Lee and Jun MoonDeep Reinforcement Learning-Based Model-Free Path Planning and Collision Avoidance for UAVs: A Soft Actor-Critic with Hindsight Experience Replay Approach ,” ICT Express, accepted, 2022

  • Seon Jae Lee, Myoung Hoon Lee, Jun MoonMaximum Norm Minimization: A Single-Policy Multi-Objective Reinforcement Learning to Expansion of the Pareto Front, ” 31st ACM International Conference on Information and Knowledge Management (CIKM 2022), accepted, 2022

  • Namyeong Lee, Jun MoonTransformer Actor-Critic with Regularization: Automated Stock Trading using Reinforcement Learning, ” 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), accepted, 2023

  • Haotian Zhang, Sunxing Feng, Myoung Hoon Lee, Jun MoonDeep Reinforcement Learning Based Active Network Management and Emergency Load-Shedding Control for Power Systems,” IEEE Transactions on Smart Grid, accepted, 2023

Selected Papers under Review and Preprints

  • Jun MoonA Maximum Principle for Optimal Control Problem of Caputo Fractional Differential Equations with Terminal and Running State Constraints,” under review, 2022

Selected Journal Papers (Full Publication List: download CV)

  • Yuna Oh and Jun MoonThe Infinite-Dimensional Pontryagin Maximum Principle for Optimal Control Problems of Fractional Evolution Equations with Terminal State Constraint,” AIMS Mathematics, accepted, 2024

  • Namyeong Lee, Jun MoonOffline Reinforcement Learning for Automated Stock Trading ” IEEE Access, accepted, 2023

  • Jihyeon Yun, Atilla Eryilmaz, Jun Moon, Changhee Joo^* “Remote Estimation for Dynamic IoT Sources under Sublinear Communication Costs,” accepted, IEEE Transactions on Networking, 2023
  • Jun MoonA Pontryagin Maximum Principle for Terminal State-Constrained Optimal Control Problems of Volterra Integral Equations with singular kernels,” accepted, AIMS Mathematics, 2023

  • Ngo Phong Nguyen, Hyondong Oh, Jun Moon, Yoonsoo Kim “Multivariable Disturbance Observer-Based Finite-Time Sliding Mode Attitude Control for Fixed-Wing UAVs under Matched and Mismatched Disturbances,” IEEE Control Systems Letters, accepted, 2023

  • Jaehyung Gu, Sesun You, Wonhee Kim, and Jun MoonFuzzy Event-Triggered Super Twisting Sliding Mode Control for Position Tracking of Permanent Magnet Synchronous Motors under Unknown Disturbances,” IEEE Transactions on Industrial Informatics, accepted, 2022

  • Jun MoonBackward Reachability Approach to State-Constrained Stochastic Optimal Control Problem for Jump-Diffusion Models,” Advances in Continuous and Discrete Models, accepted, 2022 (arXiv)

  • Ngo Phong Nguyen, Hyondong Oh and Jun MoonFinite-Time Continuous Nonsingular Terminal Modified Adaptive-Gain Super-Twisting Control: Application to a 2-DOF Planar Robot Manipulator System,” IEEE Transactions on Cybernetics, accepted, 2022

  • Hyun Jong Yang and Jun MoonA Sufficient Condition for Optimal Control Problem of Fully-Coupled Forward-Backward Stochastic Systems with Jumps: A State-Constrained Control Approach,” Optimal Control, Applications and Methods, accepted, 2022

  • Jun MoonLinear-Quadratic Stochastic Leader-Follower Differential Games for Markov Jump-Diffusion Models,” Automatica, vol. 147(110713), pp. 1-18, 2022

  • Ngo Phong Nguyen, Hyondong Oh, and Jun MoonContinuous Nonsingular Terminal Sliding Mode Control with Integral-Type Sliding Surface for Disturbed Systems: Application to Attitude Control for Quadrotor UAVs under External Disturbances,” IEEE Transactions on Aerospace and Electronic Systems, accepted, 2022

  • Jun Moon and Tamer Basar “Dynamic Programming and a Verification Theorem for the Recursive Stochastic Control Problem of Jump-Diffusion Models with Random Coefficients,” IEEE Transactions on Automatic Control, accepted, 2022 (doi: 10.1109/TAC.2021.3131097)

  • Jun MoonState and Control Path-Dependent Stochastic Optimal Control with Jumps,” IEEE Transactions on Automatic Control, vol. 67, no. 9. pp. 4555-4567, 2022 (doi: 10.1109/TAC.2022.3161381)

  • Jun MoonStochastic Optimal Control in Infinite Dimensions with State Constraints,” Nonlinear Analysis, vol. 223, no. 113050, pp. 1-27, 2022

  • Jun MoonLinear-Quadratic Mean-Field Type Stackelberg Differential Games for Stochastic Jump-Diffusion Systems,” Mathematical Control and Related Fields, vol. 12, no. 2, pp. 371-404, 2022

  • Jun MoonStochastic Control with Random Coefficients and Associated Stochastic Hamilton-Jacobi-Bellman Equations” Advances in Continuous and Discrete Models: Theory and Applications, vol. 3, 2022

  • Ngo Phong Nguyen, Hyondong Oh, Yoonsoo Kim, Jun Moon, Jun Yang, and Wen-Hua Chen “Finite-Time Disturbance Observer-Based Modified Super-Twisting Algorithm for Systems with Mismatched Disturbances: Application to Fixed-Wing UAVs under Wind Disturbances,” International Journal of Robust and Nonlinear Control, vol. 31, no. 15, pp. 7317-7343, 2021

  • Ngo Phong Nguyen, Hyondong Oh, Yoonsoo Kim and Jun MoonA Nonlinear Hybrid Controller for Swinging-up and Stabilizing the Rotary Inverted Pendulum,” Nonlinear Dynamics, vol. 104, pp. 1117–1137, 2021

  • Jun Moon and Tamer Basar “Zero-Sum Differential Games on the Wasserstein Space,” Communications in Information and Systems (Special issue dedicated to Tyrone Duncan on the occasion of his 80th birthday), vol. 21, no. 2, pp. 219-251, 2021 (arXiv)

  • Jun MoonGeneralized Risk-Sensitive Control and Hamilton-Jacobi-Bellman Equation” IEEE Transactions on Automatic Control, vol. 66, no. 5, pp. 2319-2325, 2021

  • Jun MoonRisk-Sensitive Maximum Principle for Stochastic Optimal Control of Mean-Field Type Markov Regime-Switching Jump-Diffusion Systems,” International Journal of Robust and Nonlinear Control, vol. 31, no. 6, pp. 2141-2167, 2021

  • Jun MoonLinear-Quadratic Stochastic Stackelberg Differential Games for Jump-Diffusion Systems,” SIAM Journal on Control and Optimization, vol. 59, no. 2, pp. 954–976, 2021 (arXiv)

  • Myoung Hoon Lee and Jun Moon, “ Backward Reachability Analysis for Nonlinear Dynamical Systems via Pseudospectral Method,” International Journal of Control, Automation and Systems, vol. 19, no. 2, pp. 575-586, 2021.

  • Jun Moon and Hyun Jong Yang, “Linear-Quadratic Time-Inconsistent Mean-Field Type Stackelberg Differential Games: Time-Consistent Open-Loop Solutions,” IEEE Transactions on Automatic Control, vol. 66, no. 1, pp. 375-382, 2021 (arXiv)

  • Jun Moon and Tyrone E. Duncan, “A Simple Proof of Indefinite Linear-Quadratic Stochastic Optimal Control with Random Coeffcients,” IEEE Transactions on Automatic Control, vol. 65, no. 12, pp. 5422-5428, 2020.

  • Jun Moon, “A Feedback Nash Equilibrium for Affine-Quadratic Zero-Sum Stochastic Differential Games with Random Coefficients,” IEEE Control Systems Letters, vol. 4, nop. 4, pp. 868-873, Oct. 2020.

  • Jun Moon, “The Risk-Sensitive Maximum Principle for Controlled Forward-Backward Stochastic Differential Equations,” Automatica, vol. 120 (109069), pp. 1-14, Oct. 2020.

  • Jun Moon, “Linear-Quadratic Mean Field Stochastic Zero-Sum Differential Games,” Automatica, vol. 120 (109067), pp. 1-8, Oct. 2020.

  • Youngwoo Lee, Jun Moon, Wonhee Kim, Chung Choo Chung, and Masayoshi Tomizuka, “H-infinity Control Using Linear Parameter Varying Approach for Motion Control Systems Under Communication Delays,” Journal of Electrical Engineering and Technology, vol. 15, pp. 1797–1809, 2020

  • Myoung Hoon Lee and Jun Moon, “Partially-Observed Decentralized Optimal Control for Large Population Two-Wheeled Vehicles: A Differential Game Approach,” Journal of the Franklin Institute, vol. 357, no. 9, pp. 5248-5276, 2020.

  • Ngo Phong Nguyen, Hyon-Dong Oh, Yoonsoo Kim and Jun Moon, “ Disturbance Observer-Based Continuous Finite-Time Sliding Mode Control against Matched and Mismatched Disturbances,” Complexity, vol. May, 2020, pp. 1-14, 2020.

  • Jun Moon and Yoonsoo Kim, “Linear-Exponential-Quadratic Control for Mean Field Stochastic Systems,” IEEE Transactions on Automatic Control, vol. 12, no. 12, pp. 5094-5100, 2019

  • Jun Moon and Tamer Basar, “Risk-Sensitive Mean Field Games via the Stochastic Maximum Principle,” Dynamic Games and Applications, vol. 9, no. 4, pp. 1100-1125, 2019

  • Youngwoo Lee, Liting Sun, Jun Moon, Chung Choo Chung, Masayoshi Tomizuka, “Reference Modulation for Performance Enhancement of Motion Control Systems with Nonlinear Parameter Variations,” IEEE/ASME Transactions on Mechatronics,vol. 24, no. 5, pp. 2040-2051, 2019

  • Jun Moon, “Necessary and Sufficient Conditions of Risk‐Sensitive Optimal Control and Differential Games for Stochastic Differential Delayed Equations,” International Journal of Robust and Nonlinear Control, vol. 29, no. 14, pp. 4812-4827, 2019

  • Myoung Hoon Lee, Phong Ngo Nguyen, Jun Moon, “Leader–follower decentralized optimal control for large population hexarotors with tilted propellers: A Stackelberg game approach,” Journal of the Franklin Institute, vol. 356, no. 12, pp. 6175-6207, 2019

  • Phong Ngo Nguyen, Wonhee Kim and Jun Moon, “Super-Twisting Observer-based Sliding Mode Control with Fuzzy Variable Gains and Its Applications to Fully-Actuated Hexarotors,” Journal of the Franklin Institute, vol. 356, no. 8, pp. 4270-4303, 2019

  • Jun Moon, “A Sufficient Condition for Linear-Quadratic Stochastic Zero-Sum Differential Games for Markov Jump Systems,” IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1619 - 1626, 2019

  • Jun Moon, Tyrone E. Duncan, and Tamer Basar, “Risk-Sensitive Zero-Sum Differential Games,” IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1503 - 1518, 2019

  • Jun Moon and Tamer Basar, “Linear-Quadratic Mean Field Stackelberg Differential Games,” Automatica, vol. 97, pp. 200-213, Nov. 2018

  • Jun Moon and Tamer Basar, “Static Optimal Sensor Selection via Linear Integer Programming: the Orthogonal Case,” IEEE Transactions on Signal Processing Letters, vol. 24, no. 7, pp. 953-957, 2017

  • Jun Moon and Tamer Basar, “Linear Quadratic Risk-Sensitive and Robust Mean Field Games,” IEEE Transactions on Automatic Control, vol. 62, no. 3, pp. 1062-1077, 2017

  • Jun Moon and Tamer Basar, “Risk-Sensitive Control of Markov Jump Linear Systems: Caveats and Difficulties.” International Journal of Control, Automation and Systems, vol. 15, no. 1, pp. 462-467, 2017

  • Jun Moon and Tamer Basar, “Robust Mean Field Games for Coupled Markov Jump Linear Systems,” International Journal of Control , vol. 89, issue 7, pp. 1367-1381, 2016

  • Jun Moon and Tamer Basar, “Minimax Estimation with Intermittent Observations,” Automatica, vol. 62, pp. 122-133, Dec. 2015

  • Jun Moon and Tamer Basar, “Minimax Control over Unreliable Communication Channels,” Automatica, vol. 59, pp. 182-193, Sep. 2015