Abstract (EN):
We study data-driven analysis and control of 2D Fornasini-Marchesini second models. We give necessary and sufficient conditions for the data to be informative for identification, and state a 2D fundamental lemma. We propose a data-driven approach for stability verification and state-feedback stabilization via LMIs.
Language:
English
Type (Professor's evaluation):
Scientific
No. of pages:
6