The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Separation of estimation and control for discrete time systems
Abstract
An attempt is made to coordinate the numerous results relating to separation of estimation and control in discrete time stochastic control theory. The results vary widely depending upon the assumptions about linearity, criteria, information pattern, constraints, and noise distributions. Some of the less well-known underlying concepts are discussed with the help of a fairly general model.
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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
Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
Optimal control of Markov processes with incomplete state information
Åström, K. J. (1965) · Journal of Mathematical Analysis and Applications · doi:10.1016/0022-247x(65)90154-x · Cited by 854
Metadata
- Authors
- Witsenhausen, H. S.
- Venue
- Proceedings of the IEEE
- Published
- 1971
- Volume
- 59
- Issue
- 11
- Pages
- 1557-1566
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2115118348
- Cited by
- 519
- References
- 3
- FWCI
- 21.27
- Type
- journal article
- Language
- en
- Open access
- closed
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- Witsenhausen, H. S. (1971). Separation of estimation and control for discrete time systems. Proceedings of the IEEE. https://doi.org/10.1109/proc.1971.8488
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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.
