The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Optimal estimation theory for dynamic systems with set membership uncertainty
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
Schweppe, F. C. (1973) · Medical Entomology and Zoology · Cited by 1,275
Recursive state estimation: Unknown but bounded errors and system inputs
Schweppe, F. (1968) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1968.1098790 · Cited by 952
A General Theory of Optimal Algorithms
Traub, J. F., & Woźniakowski, H. (1980) · Medical Entomology and Zoology · Cited by 602
Micchelli, C. A., & Rivlin, T. J. (1977) · Optimal Estimation in Approximation Theory · doi:10.1007/978-1-4684-2388-4_1 · Cited by 329
Poljak, B. T., & Tsypkin, J. Z. (1980) · Automatica · doi:10.1016/0005-1098(80)90086-2 · Cited by 212
Robustness in Identification and Control
Milanese, M., Tempo, R., & Vicino, A. (1989) · Springer eBooks · doi:10.1007/978-1-4615-9552-6 · Cited by 205
Self-citationGeometric Programming: Methods, Computations and Applications
Ecker, J. G. (1980) · SIAM Review · doi:10.1137/1022058 · Cited by 189
Optimal error and GMDH predictors
Vicino, A., Tempo, R., GENESIO, R., & Milanese, M. (1987) · International Journal of Forecasting · doi:10.1016/0169-2070(87)90012-4 · Cited by 30
Self-citationIdentifiability and distinguishability of fundamental parameters in catalytic methanation
Walter, E., Lecourtier, Y., Happel, J. A., & Kao, J. L. (1986) · AIChE Journal · doi:10.1002/aic.690320813 · Cited by 29
Cited by
Disciplined Convex Programming
Grant, M., Boyd, S., & Ye, Y. (2006) · Nonconvex Optimization and Its Applications · doi:10.1007/0-387-30528-9_7 · Cited by 1,026
Learning-Based Model Predictive Control: Toward Safe Learning in Control
Hewing, L., Wabersich, K. P., Menner, M., & Zeilinger, M. N. (2020) · Annual Review of Control, Robotics, and Autonomous Systems · doi:10.1146/annurev-control-090419-075625 · Cited by 835
From experiment design to closed-loop control
Hjalmarsson, H. (2005) · Automatica · doi:10.1016/j.automatica.2004.11.021 · Cited by 506
Identification for Control: From the Early Achievements to the Revival of Experiment Design*
Gevers, M. (2005) · European Journal of Control · doi:10.3166/ejc.11.335-352 · Cited by 329
Closed-loop issues in system identification
Van den Hof, P. (1998) · Annual Reviews in Control · doi:10.1016/s1367-5788(98)00016-9 · Cited by 269
Metadata
- Authors
- Milanese, M., & Vicino, A.
- Venue
- Automatica
- Publisher
- Elsevier BV
- Published
- 1991-11
- Volume
- 27
- Issue
- 6
- Pages
- 997-1009
- ISSN
- 0005-1098 (ISSN-L)
- OpenAlex
- W1896002532
- Cited by
- 683
- References
- 9
- FWCI
- 29.94
- 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: Optimal estimation theory for dynamic systems with set membership uncertainty. https://app.cochat.ai/papers/10.1016/0005-1098(91)90134-n
- The paper
- Milanese, M., & Vicino, A. (1991). Optimal estimation theory for dynamic systems with set membership uncertainty. Automatica. https://doi.org/10.1016/0005-1098(91)90134-n
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.