Data-driven stabilization of continuous-time systems with noisy input-output data

Masashi Wakaiki

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arXiv · 2602.02992

Data-driven stabilization of continuous-time systems with noisy input-output data

Masashi Wakaiki

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Abstract

We study data-driven stabilization of continuous-time systems in autoregressive form when only noisy input-output data are available. First, we provide an operator-based characterization of the set of systems consistent with the data. Next, combining this characterization with behavioral theory, we establish a necessary and sufficient condition for the noisy data to be informative for quadratic stabilization. This condition is formulated in terms of linear matrix inequalities, whose solutions yield a stabilizing controller. Finally, we characterize data informativity for system identification in the noise-free setting.

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Masashi Wakaiki. 2026-02-03. Data-driven stabilization of continuous-time systems with noisy input-output data. https://arxiv.org/abs/2602.02992

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