Asymptotically exact direct data-driven multivariable controller tuning

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 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. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.