most citedData-driven stabilization of nonlinear polynomial systems with noisy data

16 citations · 16 across the 1 of their papers we have counts for

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2 papers

math.OC2020★ 16 cited

Data-driven stabilization of nonlinear polynomial systems with noisy data

Meichen Guo, Claudio De Persis, Pietro Tesi

In a recent paper we have shown how to learn controllers for unknown linear systems using finite-sized noisy data by solving linear matrix inequalities. In this note we extend this…

eess.SY2020

Learning control for polynomial systems using sum of squares relaxations

Meichen Guo, Claudio De Persis, Pietro Tesi

This paper considers the problem of learning control laws for nonlinear polynomial systems directly from the data, which are input-output measurements collected in an experiment ov…