MATLAB Files: (Paper) Data-Driven Saturated State Feedback Design for Polynomial Systems Using Noisy Data
The uploaded .ZIP file contains the MATLAB codes used in Examples 1 and 2 of the following paper, which the authors have submitted to an IEEE Journal: Data-Driven Saturated State Feedback Design for Polynomial Systems Using Noisy Data. This is the abstract of the paper: "In this note, the problem of data-driven saturated state feedback design for polynomial nonlinear systems is solved by means of a sum-of-squares (SOS) approach. This new strategy combines recent results in dissipativity theory and data-driven feedback control using noisy input-state data. SOS optimization is also employed in this work to deliver an estimate of the closed-loop domain of attraction under saturated feedback. Numerical examples allow the reader to verify the usefulness of the proposed strategy, which is the first in literature to provide a data-driven and dissipativity-based approach for dealing with the problem of input saturation for continuous-time polynomial systems".