Beyond Persistent Excitation: Online Experiment Design for Data-Driven Modeling and Control

Henk van Waarde*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

19 Citations (Scopus)
158 Downloads (Pure)

Abstract

This letter presents a new experiment design method for data-driven modeling and control. The idea is to select inputs online (using past input/output data), leading to desirable rank properties of data Hankel matrices. In comparison to the classical persistency of excitation condition, this online approach requires less data samples and is even shown to be completely sample efficient.
Original languageEnglish
Pages (from-to)319-324
Number of pages6
JournalIEEE Control Systems Letters
Volume6
DOIs
Publication statusPublished - 25-Jun-2021

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