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New differentiated consensus problem with topology cost constraints. / Amelina, N.O.; Ivanskiy, Y.V.

в: Vestnik St. Petersburg University: Mathematics, № 4, 2015, стр. 185-194.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

Amelina, NO & Ivanskiy, YV 2015, 'New differentiated consensus problem with topology cost constraints', Vestnik St. Petersburg University: Mathematics, № 4, стр. 185-194. https://doi.org/10.3103/S1063454115040020

APA

Amelina, N. O., & Ivanskiy, Y. V. (2015). New differentiated consensus problem with topology cost constraints. Vestnik St. Petersburg University: Mathematics, (4), 185-194. https://doi.org/10.3103/S1063454115040020

Vancouver

Amelina NO, Ivanskiy YV. New differentiated consensus problem with topology cost constraints. Vestnik St. Petersburg University: Mathematics. 2015;(4):185-194. https://doi.org/10.3103/S1063454115040020

Author

Amelina, N.O. ; Ivanskiy, Y.V. / New differentiated consensus problem with topology cost constraints. в: Vestnik St. Petersburg University: Mathematics. 2015 ; № 4. стр. 185-194.

BibTeX

@article{c9f1a9f588bd4782856d9b4ecc607649,
title = "New differentiated consensus problem with topology cost constraints",
abstract = "{\textcopyright} 2015, Allerton Press, Inc.A new differentiated consensus problem is studied. The problem is, given a system with multiple classes, consensus is targeted for each class and the consensus values can be different among the classes. Specifically, differentiated consensus is studied in a distributed stochastic network of nodes (or agents), where tasks assigned with different priorities are serviced. The network is assumed to have a switching topology and involves noises, delays in measurements, and topology cost constraints. The goal is to reach a balanced load (i.e., consensus) across the network and, at the same time, to satisfy the topology cost constraint, both for each priority class. A new control protocol is proposed, with which the network resources are allocated in a randomized way with a probability assigned to each priority class. It is shown that the control protocol meets the topology cost constraint and can be used to reach an approximate consensus for each of the priority classes in the network.",
author = "N.O. Amelina and Y.V. Ivanskiy",
year = "2015",
doi = "10.3103/S1063454115040020",
language = "English",
pages = "185--194",
journal = "Vestnik St. Petersburg University: Mathematics",
issn = "1063-4541",
publisher = "Pleiades Publishing",
number = "4",

}

RIS

TY - JOUR

T1 - New differentiated consensus problem with topology cost constraints

AU - Amelina, N.O.

AU - Ivanskiy, Y.V.

PY - 2015

Y1 - 2015

N2 - © 2015, Allerton Press, Inc.A new differentiated consensus problem is studied. The problem is, given a system with multiple classes, consensus is targeted for each class and the consensus values can be different among the classes. Specifically, differentiated consensus is studied in a distributed stochastic network of nodes (or agents), where tasks assigned with different priorities are serviced. The network is assumed to have a switching topology and involves noises, delays in measurements, and topology cost constraints. The goal is to reach a balanced load (i.e., consensus) across the network and, at the same time, to satisfy the topology cost constraint, both for each priority class. A new control protocol is proposed, with which the network resources are allocated in a randomized way with a probability assigned to each priority class. It is shown that the control protocol meets the topology cost constraint and can be used to reach an approximate consensus for each of the priority classes in the network.

AB - © 2015, Allerton Press, Inc.A new differentiated consensus problem is studied. The problem is, given a system with multiple classes, consensus is targeted for each class and the consensus values can be different among the classes. Specifically, differentiated consensus is studied in a distributed stochastic network of nodes (or agents), where tasks assigned with different priorities are serviced. The network is assumed to have a switching topology and involves noises, delays in measurements, and topology cost constraints. The goal is to reach a balanced load (i.e., consensus) across the network and, at the same time, to satisfy the topology cost constraint, both for each priority class. A new control protocol is proposed, with which the network resources are allocated in a randomized way with a probability assigned to each priority class. It is shown that the control protocol meets the topology cost constraint and can be used to reach an approximate consensus for each of the priority classes in the network.

U2 - 10.3103/S1063454115040020

DO - 10.3103/S1063454115040020

M3 - Article

SP - 185

EP - 194

JO - Vestnik St. Petersburg University: Mathematics

JF - Vestnik St. Petersburg University: Mathematics

SN - 1063-4541

IS - 4

ER -

ID: 4036794