Details
Original language | English |
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Number of pages | 8 |
Journal | IEEE Transactions on Automatic Control |
Publication status | E-pub ahead of print - 19 Mar 2025 |
Abstract
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In: IEEE Transactions on Automatic Control, 19.03.2025.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Notes on data-driven output-feedback control of linear MIMO systems
AU - Alsalti, Mohammad Salahaldeen Ahmad
AU - Lopez Mejia, Victor Gabriel
AU - Müller, Matthias A.
PY - 2025/3/19
Y1 - 2025/3/19
N2 - 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 ℓ 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 pℓ=n. In this note, we show how to address the general MIMO case (for which pℓ≥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.
AB - 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 ℓ 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 pℓ=n. In this note, we show how to address the general MIMO case (for which pℓ≥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.
U2 - 10.48550/arXiv.2311.17484
DO - 10.48550/arXiv.2311.17484
M3 - Conference article
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
SN - 0018-9286
ER -