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 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.
| Original language | English |
|---|---|
| Pages (from-to) | 6143 - 6150 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Automatic Control |
| Volume | 70 |
| Issue number | 9 |
| E-pub ahead of print | 19 Mar 2025 |
| DOIs | |
| Publication status | Published - 29 Aug 2025 |
Keywords
- Data-driven control
- multivariable linear systems
- non-minimal state representations
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
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