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Cited by 266

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On event-triggered and self-triggered control over sensor/actuator networks

Mazo, Manuel, Tabuada, Paulo·2008·2008 47th IEEE Conference on Decision and Control

Abstract

Event-triggered and self-triggered control have been recently proposed as an alternative to the more traditional periodic execution of control tasks. The possibility of reducing the number of executions while guaranteeing desired levels of performance makes event-triggered and self-triggered control very appealing in the context of sensor/actuator networks. In this setting, reducing the number of times that a feedback control law is executed implies a reduction in transmissions and thus a reduction in energy expenditures. In this paper we introduce two novel distributed implementations of event-triggered and self-triggered policies over sensor/actuator networks and discuss their performance in terms of energy expenditure.

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Metadata

Authors
Mazo, M., & Tabuada, P.
Venue
2008 47th IEEE Conference on Decision and Control
Publisher
IEEE
Published
2008
Pages
435-440
ISSN
0191-2216 (ISSN-L)
OpenAlex
W2129387952
Cited by
266
References
1
FWCI
28.42
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: On event-triggered and self-triggered control over sensor/actuator networks. https://app.cochat.ai/papers/10.1109/cdc.2008.4739414
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Mazo, M., & Tabuada, P. (2008). On event-triggered and self-triggered control over sensor/actuator networks. 2008 47th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2008.4739414

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.