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Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. / Amelina, Natalia; Granichin, Oleg; Granichina, Olga; Ivanskiy, Yury; Jiang, Yuming.

2015 European Control Conference, ECC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 628-633 7330612 (2015 European Control Conference, ECC 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Amelina, N, Granichin, O, Granichina, O, Ivanskiy, Y & Jiang, Y 2015, Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. in 2015 European Control Conference, ECC 2015., 7330612, 2015 European Control Conference, ECC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 628-633, European Control Conference, ECC 2015, Linz, Austria, 15/07/15. https://doi.org/10.1109/ECC.2015.7330612, https://doi.org/10.1109/ECC.2015.7330612

APA

Amelina, N., Granichin, O., Granichina, O., Ivanskiy, Y., & Jiang, Y. (2015). Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. In 2015 European Control Conference, ECC 2015 (pp. 628-633). [7330612] (2015 European Control Conference, ECC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECC.2015.7330612, https://doi.org/10.1109/ECC.2015.7330612

Vancouver

Amelina N, Granichin O, Granichina O, Ivanskiy Y, Jiang Y. Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. In 2015 European Control Conference, ECC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 628-633. 7330612. (2015 European Control Conference, ECC 2015). https://doi.org/10.1109/ECC.2015.7330612, https://doi.org/10.1109/ECC.2015.7330612

Author

Amelina, Natalia ; Granichin, Oleg ; Granichina, Olga ; Ivanskiy, Yury ; Jiang, Yuming. / Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities. 2015 European Control Conference, ECC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 628-633 (2015 European Control Conference, ECC 2015).

BibTeX

@inproceedings{923df3416b33469299fd77ad8cf82833,
title = "Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities",
abstract = "This paper deals with a 'differentiated consensuses' problem in a distributed stochastic network system with priorities. The network is considered as a set of heterogeneous agents that process incoming tasks with different importance (priority) levels. The observations about neighbors' states are supposed to be obtained with random noise and delays and the topology could switch over time. Several consensus objectives are to be achieved. To maintain almost balanced load, i.e. approximate consensus for every priority class across the network, a new family of control protocols that use different step-size parameters for each task class is introduced. An instrument for choosing optimal step-sizes for the proposed control strategy is given. In addition, a numerical example that illustrates the proposed control strategy and the results of simulations are provided.",
author = "Natalia Amelina and Oleg Granichin and Olga Granichina and Yury Ivanskiy and Yuming Jiang",
note = "Publisher Copyright: {\textcopyright} 2015 EUCA. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.; European Control Conference, ECC 2015 ; Conference date: 15-07-2015 Through 17-07-2015",
year = "2015",
month = nov,
day = "16",
doi = "10.1109/ECC.2015.7330612",
language = "English",
series = "2015 European Control Conference, ECC 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "628--633",
booktitle = "2015 European Control Conference, ECC 2015",
address = "United States",

}

RIS

TY - GEN

T1 - Optimal step-size of a local voting protocol for differentiated consensuses achievement in a stochastic network with priorities

AU - Amelina, Natalia

AU - Granichin, Oleg

AU - Granichina, Olga

AU - Ivanskiy, Yury

AU - Jiang, Yuming

N1 - Publisher Copyright: © 2015 EUCA. Copyright: Copyright 2016 Elsevier B.V., All rights reserved.

PY - 2015/11/16

Y1 - 2015/11/16

N2 - This paper deals with a 'differentiated consensuses' problem in a distributed stochastic network system with priorities. The network is considered as a set of heterogeneous agents that process incoming tasks with different importance (priority) levels. The observations about neighbors' states are supposed to be obtained with random noise and delays and the topology could switch over time. Several consensus objectives are to be achieved. To maintain almost balanced load, i.e. approximate consensus for every priority class across the network, a new family of control protocols that use different step-size parameters for each task class is introduced. An instrument for choosing optimal step-sizes for the proposed control strategy is given. In addition, a numerical example that illustrates the proposed control strategy and the results of simulations are provided.

AB - This paper deals with a 'differentiated consensuses' problem in a distributed stochastic network system with priorities. The network is considered as a set of heterogeneous agents that process incoming tasks with different importance (priority) levels. The observations about neighbors' states are supposed to be obtained with random noise and delays and the topology could switch over time. Several consensus objectives are to be achieved. To maintain almost balanced load, i.e. approximate consensus for every priority class across the network, a new family of control protocols that use different step-size parameters for each task class is introduced. An instrument for choosing optimal step-sizes for the proposed control strategy is given. In addition, a numerical example that illustrates the proposed control strategy and the results of simulations are provided.

UR - http://www.scopus.com/inward/record.url?scp=84963805771&partnerID=8YFLogxK

U2 - 10.1109/ECC.2015.7330612

DO - 10.1109/ECC.2015.7330612

M3 - Conference contribution

T3 - 2015 European Control Conference, ECC 2015

SP - 628

EP - 633

BT - 2015 European Control Conference, ECC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - European Control Conference, ECC 2015

Y2 - 15 July 2015 through 17 July 2015

ER -

ID: 3936229