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Event-separation properties of event-triggered control systems
Abstract
In this paper, we study fundamental properties of minimum inter-event times for several event-triggered control architectures, both in the absence and presence of external disturbances and/or measurement noise. This analysis reveals, amongst others, that for several popular event-triggering mechanisms no positive minimum inter-event time can be guaranteed in the presence of arbitrary small external disturbances or measurement noise. This clearly shows that it is essential to include the effects of external disturbances and measurement noise in the analysis of the computation/communication properties of event-triggered control systems. In fact, this paper also identifies event-triggering mechanisms that do exhibit these important event-separation properties.
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Citations
Cited by
Event-triggered communication and control of networked systems for multi-agent consensus
Nowzari, C., Garcia, E., & Cortés, J. (2019) · Automatica · doi:10.1016/j.automatica.2019.03.009 · Cited by 655
Zhu, Q. (2019) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2882067 · Cited by 486
Yu, H., & Chen, T. (2024) · Automatica · doi:10.1016/j.automatica.2024.111798 · Cited by 14
Metadata
- Authors
- Borgers, D. P., & Heemels, W. P. M. H.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2014-10
- Volume
- 59
- Issue
- 10
- Pages
- 2644-2656
- ISSN
- 0018-9286 (ISSN-L)
- 1558-2523
- 2334-3303
- OpenAlex
- W2084988223
- Cited by
- 506
- References
- 0
- FWCI
- 32.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Event-separation properties of event-triggered control systems. https://app.cochat.ai/papers/10.1109/tac.2014.2325272
- The paper
- Borgers, D. P., & Heemels, W. P. M. H. (2014). Event-separation properties of event-triggered control systems. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2014.2325272
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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.
