Open access
Datum
2021Typ
- Conference Paper
ETH Bibliographie
yes
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Abstract
The paper deals with the problem of designing informative input trajectories for data-driven simulation. First, the excitation requirements in the case of noise-free data are discussed and new weaker conditions, which assume the simulated input to be known in advance, are provided. Then, the case of noisy data trajectories is considered and an input design problem based on a recently proposed maximum likelihood estimator is formulated. A Bayesian interpretation is provided, and the implications of using Hankel and Page matrix representations are demonstrated. Numerical examples show the impact of the designed input on the predictive accuracy. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000514081Publikationsstatus
publishedExterne Links
Buchtitel
2021 60th IEEE Conference on Decision and Control (CDC)Seiten / Artikelnummer
Verlag
IEEEKonferenz
Organisationseinheit
08814 - Smith, Roy (Tit.-Prof.)
Förderung
178890 - Modeling, Identification and Control of Periodic Systems in Energy Applications (SNF)
Zugehörige Publikationen und Daten
Is supplemented by: https://doi.org/10.3929/ethz-b-000514080
Anmerkungen
Conference lecture held on December 13, 2021ETH Bibliographie
yes
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