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arXiv · 2511.06524

Input-Output Data-Driven Stabilization of Continuous-Time Linear MIMO Systems

Haihui Gao·Alessandro Bosso·Lei Wang·David Saussié·Bowen Yi
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Abstract

In this paper, we address the problem of data-driven stabilization of continuous-time multi-input multi-output (MIMO) linear time-invariant systems using the input-output data collected from an experiment. Building on recent results for data-driven output-feedback control based on non-minimal realizations, we propose an approach that can be applied to a broad class of continuous-time MIMO systems without requiring a uniform observability index. The key idea is to show that Kreisselmeier's adaptive filter can be interpreted as an observer of a stabilizable non-minimal realization of the plant. Then, by postprocessing the input-output data with such a filter, we derive a linear matrix inequality that yields the feedback gain of a dynamic output-feedback stabilizer.

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Haihui Gao, Alessandro Bosso, Lei Wang, David Saussié, Bowen Yi. 2025-11-09. Input-Output Data-Driven Stabilization of Continuous-Time Linear MIMO Systems. https://arxiv.org/abs/2511.06524

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