2023/11/29 by Mohammad Alsalti, Alsalti, Mohammad, Victor G. Lopez +3 · 6 citations
Engineering · #Control Systems and Identification #Advanced Control Systems Optimization #Advanced Control Systems Design
paper · pdf · doi:10.48550/arxiv.2311.17484
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.