On dynamic regressor extension and mixing parameter estimators: two Luenberger observers interpretations

DOI10.1016/j.automatica.2018.06.011zbMath1402.93065OpenAlexW2810902810WikidataQ129613821 ScholiaQ129613821MaRDI QIDQ1626954

Laurent Praly, Bowen Yi, Romeo S. Ortega, Wei-Dong Zhang, Stanislav V. Aranovskiy

Publication date: 21 November 2018

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2018.06.011

zbMATH Keywords

parameter estimationnonlinear systemsadaptive systemsobserver design theory

Mathematics Subject Classification ID

System identification (93B30) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Observability (93B07)

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• Identification of photovoltaic arrays' maximum power extraction point via dynamic regressor extension and mixing
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