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Hierarchical Robust Analysis for Identified Systems in Network
Univ Lyon, Ecole Cent Lyon, Lab Ampere, F-69134 Ecully, France..
Univ Lyon, Ecole Cent Lyon, Lab Ampere, F-69134 Ecully, France..
KTH, School of Electrical Engineering and Computer Science (EECS), Automatic Control.ORCID iD: 0000-0002-9368-3079
Univ Lyon, Ecole Cent Lyon, Lab Ampere, F-69134 Ecully, France..
2018 (English)In: IFAC PAPERSONLINE, ELSEVIER SCIENCE BV , 2018, Vol. 51, no 25, p. 383-389Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers worst-case robustness analysis of a network of locally controlled uncertain systems with uncertain parameter vectors belonging to the ellipsoid sets found by identification procedures. In order to deal with computational complexity of large-scale systems, an hierarchical robustness analysis approach is adapted to these uncertain parameter vectors thus addressing the trade-off between the computation time and the conservatism of the result.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2018. Vol. 51, no 25, p. 383-389
Keywords [en]
Identification for Control, Interconnected systems, Network, Multi-Agents
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-240040DOI: 10.1016/j.ifacol.2018.11.137ISI: 000451094400065Scopus ID: 2-s2.0-85056838220OAI: oai:DiVA.org:kth-240040DiVA, id: diva2:1269238
Conference
Joint Meeting of the 2nd IFAC Workshop on Linear Parameter Varying Systems (LPVS) / 9th IFAC Symposium on Robust Control Design (ROCOND), SEP 03-05, 2018, Florianopolis, BRAZIL
Note

QC 20181210

Available from: 2018-12-10 Created: 2018-12-10 Last updated: 2018-12-10Bibliographically approved

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Hjalmarsson, Håkan

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Citation style
  • apa
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  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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