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A smart Neural Network Based Algorithm for Landing Control of Autonomous Unmanned Aerial Vehicle

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Figure

Fig 1: geometry of the glide slope
fig 2: block diagram of the glide path controller [1]
Figure 5 depicts the general architecture of the proposed neural network based controller which manages all the flight phase and direct the control commands to the autopilot system assigned to actuate the aircraft control surface, the aircraft dynamic are
Figure.6 represents the flow chart of the proposed transition stage.
+5

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