Abstract
In this study, some applications of model-dependent and model-free learning based control techniques are presented for the control of attitude dynamics of vertical take-off and landing unmanned aerial vehicle. Towards this goal, reinforcement learning control algorithms are examined. Control algorithms are discussed and the main differences are presented. A number of numerical simulations are carried out on the attitude control of the system and the results are discussed. Performance evaluation of the proposed learning-based control method has been carried out.
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