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Distributed Robustness Analysis of Interconnected Uncertain Systems Using Chordal Decomposition
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pakazad, Sina Khoshfetrat Hansson, Anders Andersen, Martin Skou Rantzer, Anders |
| Copyright Year | 2014 |
| Abstract | 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. |
| Starting Page | 2594 |
| Ending Page | 2599 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.3182/20140824-6-ZA-1003.01649 |
| Volume Number | 47 |
| Alternate Webpage(s) | https://arxiv.org/pdf/1402.2066v1.pdf |
| Alternate Webpage(s) | https://folk.ntnu.no/skoge/prost/proceedings/ifac2014/media/files/1649.pdf |
| Alternate Webpage(s) | https://doi.org/10.3182/20140824-6-ZA-1003.01649 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
