On Preserving-Excitation Properties of Kreisselmeier’s Regressor Extension Scheme
Author:
Affiliation:
1. IETR—CentaleSupélec, Avenue de la Boulaie, Cesson-Sévigné, France
2. Inria, Université de Lille, CNRS, Lille, France
3. Faculty of Control Systems and Robotics, ITMO University, Saint Petersburg, Russia
Funder
Russian Science Foundation
Rennes Metropole
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/10031614/09767689.pdf?arnumber=9767689
Reference29 articles.
1. Composite Model Reference Adaptive Control with Parameter Convergence Under Finite Excitation
2. Fixed-time estimation of parameters for non-persistent excitation
3. On dynamic regressor extension and mixing parameter estimators: Two Luenberger observers interpretations
4. Performance Enhancement of Parameter Estimators via Dynamic Regressor Extension and Mixing*
5. Efficient learning from adaptive control under sufficient excitation
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