Asymptotically exact direct data-driven multivariable controller tuning. Issue 28 (2015)

• Record Type: Journal Article
• Authors: Formentin, Simone; Bisoffi, Andrea; Oomen, Tom
• Is Part Of: IFAC-PapersOnLine. Volume 48:Issue 28(2015)
• Page Start: 1349
• Page End: 1354
• Publication Date: 2015
• Subjects: direct data-driven control -- multivariable systems -- convex optimization; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2015.12.319
• Languages: English
• ISSNs: 2405-8963

Abstract

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-theart 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.