Model Reduction of Linear Multi-Agent Systems by Clustering and Associated H2- and H∞-Error Bounds

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Model Reduction of Linear Multi-Agent Systems by Clustering and Associated H₂- and H_∞-Error Bounds

Jongsma, H.-J., Mlinarić, P., Grundel, S., Benner, P., & Trentelman, H. L. (in preparation). Model Reduction of Linear Multi-Agent Systems by Clustering and Associated H₂- and H_∞-Error Bounds.

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Datum des Verwerfens: 2017-11-27

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Urheber:
Jongsma, Hidde-Jan¹
Mlinarić, Petar^{2, 3}
Grundel, Sara²
Benner, Peter²
Trentelman, Harry L.¹

Affiliations:
1University of Groningen, ou_persistent22
2Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141
3International Max Planck Research School (IMPRS), Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, DE, ou_1738143

Datum: Erstellt: 2016-10-07

Dateien: 1 Datei

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Versions ID: item_2351761_1

Status des Datensatzes: Verworfen

Name des Kontextes: Publications of the Max Planck Institute for Dynamics of Complex Technical Systems, Zugehörig zu: Max Planck Institute for Dynamics of Complex Technical Systems