The DOI matches its Crossref record; 29 of the 32 references it cites were found in a registry or an index.
Decentralised event-triggered cooperative control with limited communication
Abstract
This note studies event-triggered control of Multi-Agent Systems (MAS) with first-order integrator dynamics. It extends previous work on event-triggered consensus by considering limited communication capabilities through strict peer-to-peer non-continuous information exchange. The approach provides both a decentralised control law and a decentralised communication policy. Communication events require no global information and are based only on local state errors; agents do not require a global sampling period or synchronous broadcasting as in sampled-data approaches. The proposed decentralised event-triggered control technique guarantees that the inter-event times for each agent are strictly positive. Finally, the ideas in this note are used to consider the practical scenario where agents are able to exchange only quantised measurements of their states.
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In the citing paper
“then all nonZeno trajectories of the system asymptotically achieve multi-agent average consensus.”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
In the citing paper
“In general, an algorithm which would guarantee asymptotic convergence to the global initial average when non-quantized information is transmitted by each agent, is instead only able to converge to a bounded region around the initial average in the case where uniform quantizers are implemented at each node.”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
In the citing paper
“The states of the agents satisfy lim t →∞ || x i ( t ) -¯ x || ≤ c , where c is a constant which depends on the size of the quantization step and ¯ x = 1 N ∑ N i =0 x i (0).”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
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Metadata
- Authors
- Garcia, E., Cao, Y., Yu, H., Antsaklis, P., & Casbeer, D.
- Affiliations
- United States Air Force Research Laboratory (US)
- University of Notre Dame (US)
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 2013-09
- Volume
- 86
- Issue
- 9
- Pages
- 1479-1488
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W2032898613
- Cited by
- 228
- References
- 32
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 8 · 2023: 17 · 2022: 14 · 2021: 16 · 2020: 24 · 2019: 28 · 2018: 15 · 2017: 26 · 2016: 30 · 2015: 20 · 2014: 19 · 2013: 2
- FWCI
- 31.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Control (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- event-triggered control, multi-agent systems, cooperative control, limited communication, decentralized control, event-triggered consensus, inter-event time
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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