The DOI matches its Crossref record.
Respect the unstable
Abstract
Control engineers often design feedback control systems for inherently unstable systems, to keep them operating safely. In such cases, there are fundamental limitations on the achievable sensitivity function. The article discusses the potentially serious consequences of sensitivity constraints, input saturation, and instability. Inadequacies of control systems in such cases have led to deaths.
Overview
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Citations
Cited by
Oliveira, L. A. L., Leite, V. J. S., Silva, L. F. P., & Guelton, K. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2024.106915 · Cited by 9
Sampled-Data Control of LPV Systems With Magnitude and Rate Saturating Actuators
Oliveira, L. A. L., Guelton, K., Motchon, K. M. D., & Leite, V. J. S. (2025) · IEEE Control Systems Letters · doi:10.1109/lcsys.2025.3580489 · Cited by 2
Metadata
- Venue
- IEEE Control Systems
- Published
- 2003-08
- Volume
- 23
- Issue
- 4
- Pages
- 12-25
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W2002122824
- Cited by
- 407
- References
- 0
- FWCI
- 16.52
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Respect the unstable. https://app.cochat.ai/papers/10.1109/mcs.2003.1213600
- The paper
- Respect the unstable. (2003). IEEE Control Systems. https://doi.org/10.1109/mcs.2003.1213600
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.
