Asymptotically exact direct data-driven multivariable controller tuning

S. Formentin, A. Bisoffi, T.A.E. Oomen

Research output: Contribution to journalConference articlepeer-review

5 Citations (Scopus)

Abstract

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.
Original languageEnglish
Pages (from-to)1345-1354
JournalIFAC-PapersOnLine
Volume48
Issue number28
DOIs
Publication statusPublished - 2015
Event17th IFAC Symposium on System Identification (SYSID 2015) - Beijing International Convention Center, Beijing, China
Duration: 19 Oct 201521 Oct 2015
Conference number: 17
http://sysid2015.info/

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