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Pattern identification in distributed systems

Authors: Melkior Ornik; Adam C. Sniderman; Mireille E. Broucke; Gabriele M. T. D'Eleuterio;

Pattern identification in distributed systems

Abstract

A distributed system's interconnection structure emerges as a pattern in the system matrices. This pattern must be preserved through system analysis and control synthesis, and much has been written on these topics. A problem which has not received any attention to date is how to identify a pattern, given the linear system model. This paper proposes a method for identifying a pattern that is mathematically encoded through a commuting relationship with a base matrix. Our method generates the commuting relationship, when it exists. When it does not exist, our method produces the closest approximation to the commuting relationship. Further, it indicates which additional subsystem interconnections would render it achievable. We provide both an exact solution and an almost sure polynomial-time solution in the probabilistic sense. Finally, we give several examples to demonstrate the utility of this method for finding patterns in distributed systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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