The DOI matches its Crossref record.
Foundations of Control and Estimation Over Lossy Networks
Abstract
This paper considers control and estimation problems where the sensor signals and the actuator signals are transmitted to various subsystems over a network. In contrast to traditional control and estimation problems, here the observation and control packets may be lost or delayed. The unreliability of the underlying communication network is modeled stochastically by assigning probabilities to the successful transmission of packets. This requires a novel theory which generalizes classical control/estimation paradigms. The paper offers the foundations of such a novel theory.
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Citations
Cited by
False data injection attacks against state estimation in wireless sensor networks
Mo, Y., Garone, E., Casavola, A., & Sinopoli, B. (2010) · 49th IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2010.5718158 · Cited by 440
Self-citationXu, H., Jagannathan, S., & Lewis, F. L. (2012) · Automatica · doi:10.1016/j.automatica.2012.03.007 · Cited by 230
(2013) · Journal of the Indian Institute of Science · Cited by 75
Liu, X., Liu, J., Wang, Y., & Liang, X. (2026) · Asian Journal of Control · doi:10.1002/asjc.3854
Metadata
- Authors
- Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K., & Sastry, S. S.
- Venue
- Proceedings of the IEEE
- Published
- 2007-01
- Volume
- 95
- Issue
- 1
- Pages
- 163-187
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2022406843
- Cited by
- 1,421
- References
- 0
- FWCI
- 123.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Foundations of Control and Estimation Over Lossy Networks. https://app.cochat.ai/papers/10.1109/jproc.2006.887306
- The paper
- Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K., & Sastry, S. S. (2007). Foundations of Control and Estimation Over Lossy Networks. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2006.887306
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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.
