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Cited by 1,521

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

System analysis via integral quadratic constraints

Megretski, A., Rantzer, A.·1997·IEEE Transactions on Automatic Control

Abstract

This paper introduces a unified approach to robustness analysis with respect to nonlinearities, time variations, and uncertain parameters. From an original idea by Yakubovich (1967), the approach has been developed under a combination of influences from the Western and Russian traditions of control theory. It is shown how a complex system can be described, using integral quadratic constraints (IQC) for its elementary components. A stability theorem for systems described by IQCs is presented that covers classical passivity/dissipativity arguments but simplifies the use of multipliers and the treatment of causality. A systematic computational approach is described, and relations to other methods of stability analysis are discussed. Last, but not least, the paper contains a summarizing list of IQCs for important types of system components.

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Metadata

Authors
Megretski, A., & Rantzer, A.
Venue
IEEE Transactions on Automatic Control
Published
1997-06
Volume
42
Issue
6
Pages
819-830
ISSN
0018-9286 (ISSN-L)
OpenAlex
W2097944741
Cited by
1,521
References
13
FWCI
63.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: System analysis via integral quadratic constraints. https://app.cochat.ai/papers/10.1109/9.587335
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Megretski, A., & Rantzer, A. (1997). System analysis via integral quadratic constraints. IEEE Transactions on Automatic Control. https://doi.org/10.1109/9.587335

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.