The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Stochastic stability of the discrete-time extended Kalman filter
Abstract
The authors analyze the error behavior for the discrete-time extended Kalman filter for general nonlinear systems in a stochastic framework. In particular, it is shown that the estimation error remains bounded if the system satisfies the nonlinear observability rank condition and the initial estimation error as well as the disturbing noise terms are small enough. This result is verified by numerical simulations for an example system.
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Cites
System Identification: Theory for the User
Lennart Ljung, A. (1987) · Cited by 17,690
Stochastic Processes and Filtering Theory
(1970) · Mathematics in Science and Engineering · doi:10.1016/s0076-5392(09)x6022-4 · Cited by 7,302
GELB, A. (1974) · CERN Document Server (European Organization for Nuclear Research) · Cited by 6,405
Adaptive filtering, prediction and control
Ioannou, P. (1985) · Automatica · doi:10.1016/0005-1098(85)90014-7 · Cited by 4,480
Adaptive filtering prediction and control
Goodwin, G. C., & Sin, K. S. (1984) · Cited by 3,400
introduction to random signals and applied kalman filtering
Brown, R. G., & Hwang, P. Y. (1992) · Virtual Defense Library (Ministerio de Defensa) · Cited by 3,365
Kalman Filtering: Theory and Practice
Grewal, M. S., & Andrews, A. P. (1993) · Virtual Defense Library (Ministerio de Defensa) · Cited by 1,226
Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
Ljung, L. (1979) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1979.1101943 · Cited by 1,162
Kalman Filtering with Real-Time Applications
Chui, C. K., & Chen, G. (1987) · Springer Series in Information Sciences · doi:10.1007/978-3-662-02508-6 · Cited by 1,015
Haddad, A. H. (1976) · Proceedings of the IEEE · doi:10.1109/proc.1976.10175 · Cited by 802
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Zhou, X., Stein, J. L., & Ersal, T. (2017) · Control Engineering Practice · doi:10.1016/j.conengprac.2017.05.009 · Cited by 60
Atashzar, S. F., Shahbazi, M., Samotus, O., Tavakoli, M., Jog, M. S., & Patel, R. V. (2016) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2016.2530632 · Cited by 45
Metadata
- Authors
- Reif, K., Gunther, S., Yaz, E., & Unbehauen, R.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1999-04
- Volume
- 44
- Issue
- 4
- Pages
- 714-728
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2101051269
- Cited by
- 1,011
- References
- 27
- FWCI
- 8.14
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Stochastic stability of the discrete-time extended Kalman filter. https://app.cochat.ai/papers/10.1109/9.754809
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- Reif, K., Gunther, S., Yaz, E., & Unbehauen, R. (1999). Stochastic stability of the discrete-time extended Kalman filter. IEEE Transactions on Automatic Control. https://doi.org/10.1109/9.754809
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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