Robust Adaptive Control for a Class of Uncertain Switched Nonlinear Systems with Application to Near Space Vehicle

This paper is concerned with a robust adaptive tracking control for a class of uncertain switched nonlinear systems under arbitrary switching signals. Firstly, neural networks are employed to compensate for unknown uncertainties in switched nonlinear systems. Then, adaptive backstepping method is used to design the stabilizing and continuous controller. Using the Common Lyapunov Function approach, we prove that the tracking error can converge to a small neighborhood of the desired trajectory in the finite-time. Finally, by the use of the design methods to simulate the flexible-wing near space vehicle, the simulation results are presented to show the effectiveness of the proposed scheme.