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Cited by 250

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

Wu, C.W.·2006·IEEE Transactions on Automatic Control

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.

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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

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CoChat. (2026). Citation check: Synchronization and Convergence of Linear Dynamics in Random Directed Networks. https://app.cochat.ai/papers/10.1109/tac.2006.878783
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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

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