A framework for stabilization of nonlinear sampled-data systems based on their approximate discrete-time models

Abstract

A unified framework for design of stabilizing controllers for sampled-data differential inclusions via their approximate discrete-time models is presented. Both fixed and fast sampling are considered. In each case, sufficient conditions are presented which guarantee that the controller that stabilizes a family of approximate discrete-time plant models also… (More)
DOI: 10.1109/TAC.2004.831175

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