In particular, we examine the data informativity of TPDSs concerning system identification, stability, controllability, and stabilizability and illustrate significant computational improvements over traditional approaches by leveraging the unique properties of the T-product. The effectiveness of our framework ...
For instance, applying the control value u(ti−1) of the last sampling period is feasible, or the control value may be chosen according to the data informativity framework [48]. Such a data-driven control is safeguarded by the proposed controller (3), similar to the combined controller ...
Learning controllers from data for stabilizing dynamical systems typically follows a two-step process of first identifying a model and then constructing a controller based on the identified model. However, learning models means identifying generic descriptions of the dynamics of systems, which can require...
Data Informativity: A New Perspective on Data-Driven Analysis and Control. IEEE Trans. Autom. Control 2020, 65, 4753–4768. [Google Scholar] [CrossRef] Dörfler, F.; Coulson, J.; Markovsky, I. Bridging Direct and Indirect Data-Driven Control Formulations via Regularizations and Relaxations...