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This paper deals with the problem of providing a data-driven solution to thelocal stabilization of linear systems subject to input saturation. Afterpresenting a model-based solution to this well-studied problem, a systematicmethod to transform model-driven into data-driven LMI conditions is presented.This technical solution is demonstrated to be equivalent to the recent advancedresults on LMI formulations based on S-procedure or Peterson Lemmas. However,the advantage of the proposed method relies on its simplicity and its potentialto be applicable to a wide class of problems of stabilization of (non)lineardiscrete-time systems. The method is then illustrated on an academic example.

Robust data-driven control design for linear systems subject to input saturations