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arXiv · 2402.02588

Controller Synthesis from Noisy-Input Noisy-Output Data

Lidong Li·Andrea Bisoffi·Claudio De Persis·Nima Monshizadeh
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Abstract

We consider the problem of synthesizing a dynamic output-feedback controller for a linear system, using solely input-output data corrupted by measurement noise. To handle input-output data, an auxiliary representation of the original system is introduced. By exploiting the structure of the auxiliary system, we design a controller that robustly stabilizes all possible systems consistent with data. Notably, we also provide a novel solution to extend the results to generic multi-input multi-output systems. The findings are illustrated by numerical examples.

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Lidong Li, Andrea Bisoffi, Claudio De Persis, Nima Monshizadeh. 2024-02-04. Controller Synthesis from Noisy-Input Noisy-Output Data. https://doi.org/10.1016/j.automatica.2025.112545

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