The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
On state estimation in switching environments
Abstract
Work concerned with the state estimation in linear discrete-time systems operating in Markov dependent switching environments is discussed. The disturbances influencing the system equations and the measurement equations are assumed to come from one of several Gaussian distributions with different means or variances. By defining the noise in this manner, periodic step changes in the inputs which cannot be feasibly measured for economic or technical reasons can be detected and corrected. These changes can be in the amplitudes of the inputs or in the variances of stochastic inputs. A Bayes estimation procedure is applied to the problem of filtering the observations of the system so that an estimate of the system state is obtained. Computer simulations for the optimal and suboptimal estimators are also presented.
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
A New Approach to Linear Filtering and Prediction Problems
Kalman, R. E. (1960) · Journal of Basic Engineering · doi:10.1115/1.3662552 · Cited by 31,751
Cited by
Keypoint-MoSeq: parsing behavior by linking point tracking to pose dynamics
Weinreb, C., Pearl, J. E., Lin, S., Osman, M. A. M., Zhang, L., Annapragada, S., Conlin, E., Hoffmann, R., Makowska, S., Gillis, W. F., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02318-2 · Cited by 228
Metadata
- Authors
- Ackerson, G., & Fu, K.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 1970-02
- Volume
- 15
- Issue
- 1
- Pages
- 10-17
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2114690521
- Cited by
- 525
- References
- 1
- FWCI
- 10.74
- 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: On state estimation in switching environments. https://app.cochat.ai/papers/10.1109/tac.1970.1099359
- The paper
- Ackerson, G., & Fu, K. (1970). On state estimation in switching environments. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.1970.1099359
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.
