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

Jongsma, H.-J., Mlinarić, P., Grundel, S., Benner, P., & Trentelman, H. L. (2018). Model Reduction of Linear Multi-Agent Systems by Clustering and with H2- and H∞-Error Bounds. Mathematics of Control, Signals, and Systems, 30(1): 6, 38 pages. doi:10.1007/s00498-018-0212-6.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0000-B5BB-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0009-D0CD-5
Genre: Journal Article

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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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 Creators:
Jongsma, Hidde-Jan1, Author
Mlinarić, Petar2, 3, Author           
Grundel, Sara2, Author           
Benner, Peter2, Author           
Trentelman, Harry L.1, Author
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              

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 Dates: 2018
 Publication Status: Issued
 Pages: 28 pages, 1 figure
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s00498-018-0212-6
arXiv: 1610.02432
URI: http://arxiv.org/abs/1610.02432
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Title: Mathematics of Control, Signals, and Systems
  Abbreviation : MCSS
Source Genre: Journal
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Pages: - Volume / Issue: 30 (1) Sequence Number: 6, 38 pages Start / End Page: - Identifier: -