On enforcing stability for data-driven reduced-order models

Gosea, Ion Victor; Poussot-Vassal, Charles; Antoulas, Athanasios C.

doi:10.1109/MED51440.2021.9480216

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Conference Paper

On enforcing stability for data-driven reduced-order models

MPS-Authors

/persons/resource/persons214181

Gosea, Ion Victor
Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;

/persons/resource/persons206332

Antoulas, Athanasios C.
Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society;
Rice University;
Baylor College of Medicine;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Gosea, I. V., Poussot-Vassal, C., & Antoulas, A. C. (2021). On enforcing stability for data-driven reduced-order models. In 2021 29th Mediterranean Conference on Control and Automation (MED) (pp. 487-493). IEEE. doi:10.1109/MED51440.2021.9480216.

Cite as: https://hdl.handle.net/21.11116/0000-0008-ECCC-9

Abstract

There is no abstract available