Model-Free Altitude Tracking Control for Nonlinear Low-Altitude Aircraft

This paper explores the trajectory tracking control problem for nonlinear low-altitude aircraft in the presence of communication disturbances. Previous studies have typically considered ideal flight environments, with control algorithms often relying on precise dynamic information <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$o$</tex>. This paper proposes a data-driven adaptive trajectory tracking control scheme to avoid the need for dynamic modelling and account for the practical constraint of communication disturbances. Furthermore, to address tasks requiring repeated execution, iterative learning methods are introduced, demonstrating the algorithm's robust performance.