ScholarWorks@Hanyang University: Moon, Jun

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Moon, Jun (문준)

COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)

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Tel 02-2220-0464
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Optimal control:7||Stochastic processes:5||#8208:4||Moon:4||verification theorem:4||Dynamic programming:4||Mathematical models:4||Stability analysis:3||maximum principle:3||Noise measurement:3||Deep reinforcement learning:3||Differential equations:3||Robust Control:2||data storage system:2||Robustness:2||Rotary inverted pendulum:2||Asymptotic stability:2||Accuracy:2||Sliding mode control:2||Pontryagin maximum principle:2||H∞ loop shaping:2||stochastic zerosum differential games:2||finitetime stability:2||flight envelope estimation:2||Power system stability:2||Power systems:2||Nash equilibrium:2||Extended state observer (ESO):2||Feedback linearization:2||Control systems:2||helicopter:2||variational analysis:2||reachability analysis:2||viscosity solutions:2||random coefficients:2||Viscosity:2||Viscosity solution:2||#8211:2||Jumpdiffusion systems:2||Zonotopic Kalman filtering:2||attitude control:2||Stochastic maximum principle:2||Energy control:2||Stochastic systems:2||Distributed control:2||Disturbance Observer:2||Forward–backward stochastic differential equations:1||Forward and backward stochastic differential equations with jump diffusions:1||Forwardbackward stochastic differential equations:1||Fourstep scheme:1||Fractional calculus:1||Frequency control:1||Frequency estimation:1||Functional Ito formula for jump diffusions:1||Games:1||Gaussian distribution:1||Goalconditioned Learning:1||H(infinity)peformance:1||Hamilton&:1||HamiltonJacobiBellman equation:1||Heuristic algorithms:1||Hierarchical Learning:1||Hindsight experience replay:1||Indexes:1||Inference algorithms:1||Inputtostate stability (ISS) property:1||Integrotype coupled Riccati differential equations:1||Internet of Things:1||Jacobi&:1||Kalman Filter(칼만 필터):1||Koopman operator theory:1||Laplacian matrix:1||Leader–follower Stackelberg game:1||Leaderfollower Stackelberg game:1||LiDAR:1||Licenses:1||Linear–quadratic control:1||Linear control system application:1||Linear parameter varying:1||Long short term memory:1||Markov jump systems:1||Mean field stochastic differential equations:1||Mean field theory:1||Meanfield stochastic systems with jump diffusions:1||Meanfield type systems:1||Measurement:1||Modelbased Learning:1||Modified supertwisting control:1||Motion capture:1||Multiagent systems:1||Network topology:1||Neural network:1||Neural networks:1||Nonlinear system:1||Numerical models:1||Nyquist plot:1||Observers:1||Offline RL:1||Optimization:1||Optimized backstepping control (OB):1||Output feedback:1||Outputfeedback control:1||Partial integrodifferential equations:1||Permanent magnet synchronous motors:1||Permanent magnet synchronous motors (PMSMs):1||Portfolio allocation:1||Process control:1||Quadrotor:1||Quadrotors:1||Rajavascript:fn_save():1||Recurrent Neural Network(순환 신경망):1||Reinforcement learning (RL):1||Relative sensing network:1||Remote sensing:1||Riccati differential equation:1||Riccati differential equations:1||Risksensitive control:1||Robot kinematics:1||Robotics:1||Robots:1||Robust control:1||Saddlepoint equilibrium:1||Safety:1||Sharpe ratio:1||Soft ActorCritic (SAC):1||Soft actorcritic:1||Stability margin:1||Stabilization control:1||Stackelberg and Nash games:1||Stackelberg differential games:1||Stackelberg game:1||Standards:1||State estimation:1||State feedback:1||StateEstimation(상태 관측):1||Stateconstrained control problem:1||Stateconstrained problems:1||Steadystate:1||Stochastic Hamilton–Jacobi–Bellman equation:1||Stochastic optimal control:1||Stochastic target problems:1||Stochastic zerosum differential games:1||Supertwisting algorithm:1||Supertwisting slidingmode control:1||Swingup and stabilization control:1||Swingup control:1||Symmetric matrices:1||Target Tracking(표적 추적):1||Task analysis:1||Topology:1||Training:1||Trajectory:1||Trajectory tracking:1||UAV path planning:1||Uncertain systems:1||Uncertainty:1||Underactuated cranes:1||Uniformly ultimately bounded:1||Upper bound:1||Variable control gain:1||Verification theorem:1||Viscosity solutions:1||Voltage control:1||Volterra integral equation:1||XGBoost:1||active network management:1||autonomous driving:1||backward reachability approach:1||backward stochastic differential equations:1||communication system control:1||completion of squares method:1||continuous sliding mode control:1||coupled integroRiccati differential equations:1||cumulative prospect theory (CPT):1||diffusion systems:1||disturbance observer:1||disturbance rejection:1||duality analysis:1||dynamic programming principles:1||emergency control:1||field type Markov regime&:1||finitetime convergence:1||forwardbackward stochastic differential equation with jump diffusions:1||fractional differential equations:1||fractional evolution equations:1||fully coupled FBSDEs with jump diffusions:1||functional Ito calculus:1||fuzzy rule:1||fuzzybased supertwisting sliding mode control:1||game theory:1||hardwareintheloopsimulation (HILS):1||hierarchical structures:1||ininfinitedimensions:1||integraltype sliding surface:1||integroRiccati differential equation:1||integrotype HJB equation:1||integrotype pathdependent HamiltonJacobiBellman (PHJB) equation:1||integrotype stochastic PDE:1||kinematics:1||leaderfollower Stackelberg game:1||linearquadratic (LQ) stochastic optimal control:1||linearquadratic control for jump diffusions:1||load shedding:1||long shortterm memory (LSTM):1||maximum norm minimization:1||mean&:1||meanfield stochastic differential equations with jump diffusions:1||meanfield type LQ control:1||motion control:1||motionaware aggregation:1||multiagent systems:1||multiobjective reinforcement learning:1||ndom coefficients:1||nonlinear damping contol (NDC):1||nonlinear programming:1||nonsingular terminal sliding mode control:1||optimal control:1||optimal filtering:1||optioncritic framework:1||output tracking:1||pareto optimality:1||performance measure:1||permanent magnet synchronous motors (PMSMs):1||position tracking:1||power grid stability:1||pseudospectral method:1||quadrotor:1||quadrotor UAVs:1||reinforcement learning:1||risk&:1||risksensitive optimal control:1||risksensitive optimal control and differential game:1||robot manipulator:1||robust position control:1||rotary inverted pendulum system:1||safe reinforcement learning:1||sensitive optimal control:1||separation principle:1||sequence modeling:1||singular kernel:1||smart grid:1||stabilization control:1||state and control pathdependent partial differential equations:1||stateconstrained optimal control:1||stateconstrained optimal control problem:1||stateconstrained stochastic control:1||stochastic HJB equation with jump diffusions:1||stochastic Riccati differential equation:1||stochastic Riccati differential equation (SRDE):1||stochastic control for jump diffusions:1||stochastic control with delay:1||stochastic control with partial observations:1||stochastic differential delayed equation:1||stochastic maximum principle:1||stochastic optimal control:1||stochastic systems with jump diffusions and random coefficients:1||stock market:1||super twisting sliding mode control (STSMC):1||supertwisting algorithm (STA):1||switching jump&:1||temporal:1||terminal sliding surface (TSS):1||timeinconsistent stochastic control problem:1||topology control:1||transformer:1||uncertain systems:1||variablestructure/slidingmode control:1||variational:1||variational inequality:1||weight vector selection:1||.:1||3D object detection:1||Adaptive gain:1||Adaptive systems:1||Aerospace control:1||Aerospace electronics:1||Asymmetric information:1||Attitude control:1||Backstepping:1||Backward reachability analysis:1||Backward reachable set:1||Backward stochastic differential equation (BSDE):1||Backward stochastic differential equations (BSDE):1||Bellman (HJB) equations:1||Caputo and RL fractional evolution equations:1||Closed loop systems:1||Collision avoidance:1||Collision avoidance and control:1||Communication delay:1||Computational modeling:1||Convergence:1||Curvature:1||Damping:1||Data models:1||Datadriven control:1||Decision making:1||Deep learning methods:1||Delays:1||Differential games:1||Dynamic programming principle:1||Dynamical systems:1||EV charging prediction and control:1||Ekeland variational principle:1||Electronic mail:1||End effectors:1||Equilibrium control:1||Estimation error:1||Europe:1||Eventtriggered strategy:1||Extended Kalman Filter(확장 칼만 필터):1||Feature extraction:1||Feedback linearization control:1||Filtering:1||Flight control:1||Forward–backward stochastic differential equation:1||

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