In this paper a combinatory control strategy combined of a modified state feedback stabilizing controller, as the internal loop, and a robust adaptive sliding tracking controller has been proposed to be applied to the vortex-coupled roll dynamics of delta wing subject to state delay. The first subcomponent renders the closed-loop system globally practically stable. The second one is a robust adaptive sliding tracking controller which utilizes a special gaussian RBF neural network for online estimation of rolling moment coefficient as the main uncertainty of the model. To show the ability of the proposed combinatory control structure, it has been implemented to delta wing system to follow a sophisticated reference trajectory. Implementing the proposed combinatory control structure (controller with internal loop) enhanced the tracking performance in comparison to the controller without internal loop. Adding two more control inputs as a fraction of the first control input in the combinatory control structure (can be interpreted as perturbations in the vortex breakdown dynamics), also enhanced the tracking controller performance compared with the case without perturbations. Delta wing system simulation study demonstrated acceptable performance of the proposed combinatory control structure.

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