Output Feedback Sampled-Data Stabilization of a Class of Uncertain Nonlinear Systems

This paper investigates the problem of using a sampled-data controller to globally stabilize a class of uncertain nonlinear systems whose output functions are not precisely known. To solve the problem, we first construct a new sampled-data observer and then use the output feedback domination approach to design a linear sampled-data controller. An explicit formula for the maximum allowable sampling period is computed to guarantee global stability of the uncertain nonlinear systems under the proposed controller with appropriate gains.