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Hierarchical Performance Analysis of Uncertain Large Scale Systems using Uncertain Phase IQC Characterization
| Content Provider | Semantic Scholar |
|---|---|
| Author | Laib, Khaled Korniienko, Anton Scorletti, Gérard Morel, Florent |
| Copyright Year | 2015 |
| Abstract | In this report, we investigate the performance analysis of uncertain large scale systems. Due to their complexity, the usual robustness analysis methods based on e.g: $\mu$ or Integral Quadratic Constraints (IQC) cannot be practically applied. In order to address this problem, in [1], we propose to represent a large scale system as an interconnection of sub-systems and to perform a hierarchical analysis by propagating the IQC characterization of each uncertain sub-system through the interconnection. For a given computational time, the conservatism of the analysis dramatically depends on the class of IQC under consideration. In this report, we propose a new class of IQC which characterizes the phase of uncertain system. An application to the robustness analysis of a PLL network reveals that the use of this class of IQC improves the trade-off between conservatism and computation time. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://w3.onera.fr/mosar/sites/w3.onera.fr.mosar/files/201510_laib_hierarchical_performance.pdf |
| Alternate Webpage(s) | https://hal.archives-ouvertes.fr/hal-01198999/document |
| Alternate Webpage(s) | https://core.ac.uk/download/pdf/52673588.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
