Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 506

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Stability and Convergence Properties of Dynamic Average Consensus Estimators

Freeman, Randy A., Yang, Peng, Lynch, Kevin M.·2006·Proceedings of the 45th IEEE Conference on Decision and Control

Abstract

We analyze two different estimation algorithms for dynamic average consensus in sensing and communication networks, a proportional algorithm and a proportional-integral algorithm. We investigate the stability properties of these estimators under changing inputs and network topologies as well as their convergence properties under constant or slowly-varying inputs. In doing so, we discover that the more complex proportional-integral algorithm has performance benefits over the simpler proportional algorithm

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/cdc.2006.377078

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 506

Metadata

Authors
Freeman, R. A., Yang, P., & Lynch, K. M.
Venue
Proceedings of the 45th IEEE Conference on Decision and Control
Publisher
IEEE
Published
2006
Pages
338-343
ISSN
0191-2216 (ISSN-L)
OpenAlex
W2100431085
Cited by
506
References
1
FWCI
4.90
Type
conference paper
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Stability and Convergence Properties of Dynamic Average Consensus Estimators. https://app.cochat.ai/papers/10.1109/cdc.2006.377078
The paper
Freeman, R. A., Yang, P., & Lynch, K. M. (2006). Stability and Convergence Properties of Dynamic Average Consensus Estimators. Proceedings of the 45th IEEE Conference on Decision and Control. https://doi.org/10.1109/cdc.2006.377078

Data sources

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.