- Authors:
- DOI:
- 10.3182/20140824-6-ZA-1003.01649
- 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.
- ISBN:
- 9783902823625
- Type:
- Conference paper
- Language:
- English
- Published in:
- Ifac Proceedings Volumes, 2014, p. 2594-2599
- Keywords:
- Robustness analysis; Networked systems; Convex optimization
- Main Research Area:
- Science/technology
- Publication Status:
- Published
- Series:
- I F a C Workshop Series
- Review type:
- Peer Review
- Conference:
- 19th World Congress of the International Federation of Automatic Control (IFAC 2014)
- Publisher:
- International Federation of Automatic Control
- Submission year:
- 2014
- Scientific Level:
- Scientific
- ID:
- 259894464
0000-0002-4654-3946
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