The paper considers the multi-channel remote control signals processing required for hovering flight required for the Micro Air Vehicles (MAVs). The multi-variable time series analysis approach is applied to modeling and simulation of the four-channel man-manipulated signals to control the MAV hovering flight. Different multi-variable autoregressive (MVAR) models are identified using the multi-channel remote control signals sampled from the MAV remote controller. The final prediction error (FPE) related to each MVAR model is detailed. The results demonstrate that two variables with the flap and the elevator play a critical role in controlling MAV hovering flight and the other two variables with the thruster and the rudder may be kept the line.
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