In this paper, a data-driven controller design method for multivariable systems is introduced and analyzed. The proposed technique is direct, as it is entirely based on experimental data and does not rely on a physical description of the system, and non-iterative, as it does not require controller adjustments based on additional experiments. Compared to the state-of-the-art non-iterative technique, i.e. MIMO VRFT, the proposed approach is asymptotically exact, in that it guarantees that the desired closed-loop dynamics is matched when the number of data tends to infinity. The performance of the proposed approach is illustrated and compared with MIMO VRFT on a benchmark simulation example.
|Nummer van het tijdschrift||28|
|Status||Gepubliceerd - 2015|
|Evenement||17th IFAC Symposium on System Identification (SYSID 2015) - Beijing International Convention Center, Beijing, China|
Duur: 19 okt 2015 → 21 okt 2015
Formentin, S., Bisoffi, A., & Oomen, T. A. E. (2015). Asymptotically exact direct data-driven multivariable controller tuning. IFAC-PapersOnLine, 48(28), 1345-1354. https://doi.org/10.1016/j.ifacol.2015.12.319