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arXiv · 2311.17484

Notes on data-driven output-feedback control of linear MIMO systems

Mohammad Alsalti·Victor G. Lopez·Matthias A. Müller
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Abstract

Recent works have approached the data-driven design of dynamic output-feedback controllers for discrete-time LTI systems by constructing non-minimal state vectors composed of past inputs and outputs. Depending on the system's complexity (order $n$, lag $\ell$ and number of outputs $p$), it was observed in several works that such an approach presents significant limitations. In particular, many works require to restrict the class of LTI systems to those satisfying the relation $p\ell=n$. In this note, we show how to address the general MIMO case (for which $p\ell\geq n$ in general) by constructing an alternative non-minimal state vector from data. Different from the existing literature, our method guarantees the satisfaction of certain rank conditions when the system is persistently excited, thereby facilitating the direct data-driven dynamic output-feedback control of MIMO systems by applying methods that were originally developed for the input-state data setting.

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Mohammad Alsalti, Victor G. Lopez, Matthias A. Müller. 2023-11-29. Notes on data-driven output-feedback control of linear MIMO systems. https://doi.org/10.1109/tac.2025.3553073

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