Abstract
Large-scale interconnected uncertain systems commonly have large state and uncertainty dimensions. Aside from the heavy computational cost of performing robust stability analysis in a centralized manner, privacy requirements in the network can also introduce further issues. In this paper, we utilize IQC analysis for analyzing large-scale interconnected uncertain systems and we evade these issues by describing a decomposition scheme that is based on the interconnection structure of the system. This scheme is based on the so-called chordal decomposition and does not add any conservativeness to the analysis approach. The decomposed problem can be solved using distributed computational algorithms without the need for a centralized computational unit. We further discuss the merits of the proposed analysis approach using a numerical experiment.
Original language | English |
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Title of host publication | Proceedings of the 19th IFAC World Congress, 2014 |
Editors | Edward Boje, Xiaohua Xia |
Publisher | International Federation of Automatic Control |
Publication date | 2014 |
Pages | 2594-2599 |
ISBN (Print) | 978-3-902823-62-5 |
DOIs | |
Publication status | Published - 2014 |
Event | 19th World Congress of the International Federation of Automatic Control (IFAC 2014) - Cape Town, South Africa Duration: 24 Aug 2014 → 29 Aug 2014 http://www.ifac2014.org/ |
Conference
Conference | 19th World Congress of the International Federation of Automatic Control (IFAC 2014) |
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Country/Territory | South Africa |
City | Cape Town |
Period | 24/08/2014 → 29/08/2014 |
Other | The theme of the congress: “Promoting automatic control for the benefit of humankind” |
Internet address |
Series | I F A C Workshop Series |
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Number | 1 |
Volume | 19 |
ISSN | 1474-6670 |
Keywords
- Robustness analysis
- Networked systems
- Convex optimization