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Cited by 384

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Event-triggered control for discrete-time systems

Open access
Eqtami, Alina, Dimarogonas, Dimos V, Kyriakopoulos, Kostas J·2010·Proceedings of the 2010 American Control Conference

Abstract

In this paper, event-triggered strategies for control of discrete-time systems are proposed and analyzed. Similarly to the continuous-time case, the plant is assumed input-to-state stable with respect to measurement errors and the control law is updated once a triggering condition involving the norm of a measurement error is violated. The results are also extended to a self-triggered formulation, where the next control updates are decided at the previous ones, thus relaxing the need for continuous monitoring of the measurement error. The overall framework is then used in a novel Model Predictive Control approach. The results are illustrated through simulated examples.

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Metadata

Authors
Eqtami, A., Dimarogonas, D. V., & Kyriakopoulos, K. J.
Venue
Proceedings of the 2010 American Control Conference
Publisher
IEEE
Published
2010-06
Pages
4719-4724
ISSN
0743-1619 (ISSN-L)
OpenAlex
W2074642422
Cited by
384
References
15
FWCI
21.07
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Event-triggered control for discrete-time systems. https://app.cochat.ai/papers/10.1109/acc.2010.5531089
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Eqtami, A., Dimarogonas, D. V., & Kyriakopoulos, K. J. (2010). Event-triggered control for discrete-time systems. Proceedings of the 2010 American Control Conference. https://doi.org/10.1109/acc.2010.5531089

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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.