Mooncheon Choi

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This paper addresses the autonomous flight control system of an unmanned helicopter. We adopt a model-free discrete linear quadratic tracking (LQT) control architecture based on reinforcement learning algorithm by rewriting the Q-learning approach. From input and output data, the linear quadratic optimal gain is directly found without system identification(More)
Terrain-Following/Terrain-Avoidance (TA/TF) system development has three steps. Among three steps, optimal trajectory planning step is the first step on TA/TF system. This paper introduces an existing research as many referenced at the first step which defined cost function about flight time and terrain masking functions and derive the trajectory(More)
This paper studies a terrain referenced navigation which estimates a status of aircraft by using terrain elevation database and radar altimeter measurements. Terrain referenced navigation algorithm usually divides into two modes which are acquisition mode and tracking mode. In the tracking mode, states are estimated in real-time and extended Kalman(More)
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