Abstract
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.
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