Data-driven dynamic interpolation and approximation

DOI10.1016/j.automatica.2021.110008zbMath1480.93089OpenAlexW3214136760MaRDI QIDQ2059395

Florian Dörfler, Ivan Markovsky

Publication date: 14 December 2021

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.110008

zbMATH Keywords

system identificationsmoothingbehavioral approachdata-driven methodsdynamic interpolationmissing data estimation

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05)

Cites Work

• Unnamed Item
• Unnamed Item
• High-performance numerical algorithms and software for structured total least squares
• Linear dynamic filtering with noisy input and output
• From time series to linear system. I: Finite dimensional linear time invariant systems
• Optimal errors-in-variables filtering
• A note on persistency of excitation
• Literate Programming
• Exact and Approximate Modeling of Linear Systems
• Data-driven simulation and control
• Data-Driven Science and Engineering
• A Missing Data Approach to Data-Driven Filtering and Control
• The Behavioral Approach to Open and Interconnected Systems
• Errors-in-variables methods in system identification

This page was built for publication: Data-driven dynamic interpolation and approximation