Abstract
We present a methodology for the global sampled-data stabilization of systems with a compact absorbing set and input/measurement delays. The methodology is based on a numerical prediction scheme, which is combined with a projection of the state measurement on an appropriate sphere. The stabilization is robust to perturbations of the sampling schedule and is robust with respect to measurement noise. The obtained results are novel even for the delay-free case.
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