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In this paper, a novel model free adaptive robust control (MFARC) algorithm is proposed to adaptive and robust control for a class of complex and uncertain nonlinear systems, which are considered to have random noise and disturbances in the input and output data. It is shown that general inner model control (GIMC) structure can be used to overcome the trade-off that performance and robustness of controller...
In this paper, a novel data-driven control (DDC) algorithm is proposed to adaptive control for fixed-wing (Unmanned Aerial Vehicle) UAV path following using input and output (I/O) data. Differently from model based control, data-driven control reduces the dependence of accurate mathematics model in process of controller designation. The key difficulty in fixed-wing UAV path following is that the model...
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