The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers
Abstract
There exist semi-global and finite-time converging observers for nonlinear systems that are uniformly observable and globally Lipschitzian. This was achieved with local finite-time stability theory, together with application of the technique of high-gain observers (the gain is constant). Under the same conditions, it is shown that these systems admit global finite-time observers. The proposed finite-time observers are based on a modified version of high-gain observer (now the gain is an exponential function with arbitrary growth rate). Design procedures are worked out for such observers, and a numerical example is presented to show the effectiveness of the proposed method.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonlinear controllability and observability
Hermann, R., & Krener, A. (1977) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1977.1101601 · Cited by 2,374
Cited by
Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time
Song, Y., Wang, Y., Holloway, J., & Krstic, M. (2017) · Automatica · doi:10.1016/j.automatica.2017.06.008 · Cited by 1,235
An Overview of Finite/Fixed-Time Control and Its Application in Engineering Systems
Liu, Y., Li, H., Lu, R., Zuo, Z., & Li, X. (2022) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105413 · Cited by 512
Finite-Time and Fixed-Time Cluster Synchronization With or Without Pinning Control
Liu, X., & Chen, T. (2018) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2016.2630703 · Cited by 287
Metadata
- Authors
- Shen, Y., & Huang, Y.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2009-11
- Volume
- 54
- Issue
- 11
- Pages
- 2621-2625
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- OpenAlex
- W2063644516
- Cited by
- 194
- References
- 1
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers. https://app.cochat.ai/papers/10.1109/tac.2009.2029298
- The paper
- Shen, Y., & Huang, Y. (2009). Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2009.2029298
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.