The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Synchronization and Convergence of Linear Dynamics in Random Directed Networks
Abstract
Recently, methods in stochastic control are used to study the synchronization properties of a nonautonomous discrete-time linear system x(k+1)=G(k)x(k) where the matrices G(k) are derived from a random graph process. The purpose of this note is to extend this analysis to directed graphs and more general random graph processes. Rather than using Lyapunov type methods, we use results from the theory of inhomogeneous Markov chains in our analysis. These results have been used successfully in deterministic consensus problems and we show that they are useful for these problems as well. Sufficient conditions are derived that depend on the types of graphs that have nonvanishing probabilities. For instance, if a scrambling graph occurs with nonzero probability, then the system synchronizes.
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.
Integrity signals
Registry
Cites
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.
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
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Bollobás, B. (2001) · doi:10.1017/cbo9780511814068 · Cited by 2,639
Cited by
Information consensus in multivehicle cooperative control
(2007) · IEEE Control Systems · doi:10.1109/mcs.2007.338264 · Cited by 3,156
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Bullo, F., Cortés, J., & Martínez, S. (2009) · Princeton University Press eBooks · doi:10.1515/9781400831470 · Cited by 1,509
Pinning adaptive synchronization of a general complex dynamical network
Zhou, J., Lu, J.-A., & Lü, J. (2008) · Automatica · doi:10.1016/j.automatica.2007.08.016 · Cited by 573
A tutorial on modeling and analysis of dynamic social networks. Part I
Proskurnikov, A. V., & Tempo, R. (2017) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2017.03.002 · Cited by 553
A Necessary and Sufficient Condition for Consensus Over Random Networks
Tahbaz-Salehi, A., & Jadbabaie, A. (2008) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2008.917743 · Cited by 431
Metadata
- Authors
- Wu, C. W.
- Venue
- IEEE Transactions on Automatic Control
- Published
- 2006-07
- Volume
- 51
- Issue
- 7
- Pages
- 1207-1210
- ISSN
- 0018-9286 (ISSN-L)
- OpenAlex
- W2122093006
- Cited by
- 250
- References
- 3
- FWCI
- 25.64
- Type
- journal article
- 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: Synchronization and Convergence of Linear Dynamics in Random Directed Networks. https://app.cochat.ai/papers/10.1109/tac.2006.878783
- The paper
- Wu, C. W. (2006). Synchronization and Convergence of Linear Dynamics in Random Directed Networks. IEEE Transactions on Automatic Control. https://doi.org/10.1109/tac.2006.878783
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.