Sampled-data output tracking of PSF nonlinear systems with unknown coefficient

In this paper, we address the problem of output tracking for single-input and single-output (SISO) parametric strict-feedback (PSF) nonlinear systems in the presence of uncertain parameters under sampled-data control. We firstly develop a constructive design procedure for sampled-data controller by combining the backstepping technique with two kinds of discretization approaches. In sequel, we provide a theoretic analysis of stability of sampled-data closed-loop system, which shows that the proposed sampled-data controller can regulate the tracking error to any given neighborhood of the origin and the state of the sampled-data closed-loop system is bounded. Finally, an illustrative example is given to demonstrate the effectiveness of the presented method.