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Analysis of feedback systems with structured uncertainties
Abstract
The paper introduces a general approach for analysing linear systems with structured uncertainty based on a new generalised spectral theory for matrices. The results of the paper naturally extend techniques based on singular values and eliminate their most serious difficulties.
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Citations
Cited by
System analysis via integral quadratic constraints
Megretski, A., & Rantzer, A. (1997) · IEEE Transactions on Automatic Control · doi:10.1109/9.587335 · Cited by 1,521
A survey of computational complexity results in systems and control
Blondel, V. D., & Tsitsiklis, J. N. (2000) · Automatica · doi:10.1016/s0005-1098(00)00050-9 · Cited by 732
Resolution of Conflicts Involving Many Aircraft via Semidefinite Programming
Frazzoli, E., Mao, Z.-H., Oh, J.-H., & Feron, E. (2001) · Journal of Guidance, Control, and Dynamics · doi:10.2514/2.4678 · Cited by 269
Robustness analysis of biochemical network models
Kim, J., Bates, D. G., Postlethwaite, I., Ma, L., & Iglesias, P. A. (2006) · IEE Proceedings - Systems Biology · doi:10.1049/ip-syb:20050024 · Cited by 89
Doyle, F. J., & Stelling, J. (2006) · Journal of The Royal Society Interface · doi:10.1098/rsif.2006.0143 · Cited by 60
Metadata
- Authors
- Doyle, J.
- Venue
- IEE Proceedings D Control Theory and Applications
- Published
- 1982
- Volume
- 129
- Issue
- 6
- Pages
- 242
- ISSN
- 0143-7054 (ISSN-L)
- OpenAlex
- W4243620103
- Cited by
- 2,059
- References
- 0
- FWCI
- 20.15
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Analysis of feedback systems with structured uncertainties. https://app.cochat.ai/papers/10.1049/ip-d.1982.0053
- The paper
- Doyle, J. (1982). Analysis of feedback systems with structured uncertainties. IEE Proceedings D Control Theory and Applications. https://doi.org/10.1049/ip-d.1982.0053
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
