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Pinning Controllability of Complex Network Systems with Noise

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Pinning Controllability of Complex Network Systems with Noise. / Burbano Lombana, Daniel A; Russo, Giovanni; Di Bernardo, Mario.

In: IEEE Transactions on Control of Network Systems, Vol. 6, No. 2, 8528873, 01.06.2019, p. 874-883.

Research output: Contribution to journalArticle

Harvard

Burbano Lombana, DA, Russo, G & Di Bernardo, M 2019, 'Pinning Controllability of Complex Network Systems with Noise', IEEE Transactions on Control of Network Systems, vol. 6, no. 2, 8528873, pp. 874-883. https://doi.org/10.1109/TCNS.2018.2880300

APA

Burbano Lombana, D. A., Russo, G., & Di Bernardo, M. (2019). Pinning Controllability of Complex Network Systems with Noise. IEEE Transactions on Control of Network Systems, 6(2), 874-883. [8528873]. https://doi.org/10.1109/TCNS.2018.2880300

Vancouver

Burbano Lombana DA, Russo G, Di Bernardo M. Pinning Controllability of Complex Network Systems with Noise. IEEE Transactions on Control of Network Systems. 2019 Jun 1;6(2):874-883. 8528873. https://doi.org/10.1109/TCNS.2018.2880300

Author

Burbano Lombana, Daniel A ; Russo, Giovanni ; Di Bernardo, Mario. / Pinning Controllability of Complex Network Systems with Noise. In: IEEE Transactions on Control of Network Systems. 2019 ; Vol. 6, No. 2. pp. 874-883.

Bibtex

@article{7c99adbf4b1d4463bab31d513eca9321,
title = "Pinning Controllability of Complex Network Systems with Noise",
abstract = "The ability of a network of nonlinear systems to synchronize onto the desired reference trajectory in the presence of one or more leader nodes is known as the pinning controllability problem. This paper studies the pinning controllability of multiagent networks subject to three different types of noise diffusion processes; namely, noise affecting the node dynamics, the communication links, and the pinning control action itself. Sufficient pinning controllability conditions are derived depending on the node dynamics, network structure, noise intensity, and control parameters. Counterintuitively, it is found that under some specific conditions noise may enhance the pinning controllability of the network making it easier to drive all agents toward the desired collective behavior. The effectiveness of the theoretical results is illustrated via two application examples arising in the context of gene regulatory networks and synchronization of chaotic systems.",
keywords = "Pinning Control, Nonlinear Systems, Stochastic/Uncertain Systems, Stability, Networks of Autonomous Agents",
author = "{Burbano Lombana}, {Daniel A} and Giovanni Russo and {Di Bernardo}, Mario",
year = "2019",
month = "6",
day = "1",
doi = "10.1109/TCNS.2018.2880300",
language = "English",
volume = "6",
pages = "874--883",
journal = "IEEE Transactions on Control of Network Systems",
issn = "2325-5870",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
number = "2",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Pinning Controllability of Complex Network Systems with Noise

AU - Burbano Lombana, Daniel A

AU - Russo, Giovanni

AU - Di Bernardo, Mario

PY - 2019/6/1

Y1 - 2019/6/1

N2 - The ability of a network of nonlinear systems to synchronize onto the desired reference trajectory in the presence of one or more leader nodes is known as the pinning controllability problem. This paper studies the pinning controllability of multiagent networks subject to three different types of noise diffusion processes; namely, noise affecting the node dynamics, the communication links, and the pinning control action itself. Sufficient pinning controllability conditions are derived depending on the node dynamics, network structure, noise intensity, and control parameters. Counterintuitively, it is found that under some specific conditions noise may enhance the pinning controllability of the network making it easier to drive all agents toward the desired collective behavior. The effectiveness of the theoretical results is illustrated via two application examples arising in the context of gene regulatory networks and synchronization of chaotic systems.

AB - The ability of a network of nonlinear systems to synchronize onto the desired reference trajectory in the presence of one or more leader nodes is known as the pinning controllability problem. This paper studies the pinning controllability of multiagent networks subject to three different types of noise diffusion processes; namely, noise affecting the node dynamics, the communication links, and the pinning control action itself. Sufficient pinning controllability conditions are derived depending on the node dynamics, network structure, noise intensity, and control parameters. Counterintuitively, it is found that under some specific conditions noise may enhance the pinning controllability of the network making it easier to drive all agents toward the desired collective behavior. The effectiveness of the theoretical results is illustrated via two application examples arising in the context of gene regulatory networks and synchronization of chaotic systems.

KW - Pinning Control

KW - Nonlinear Systems

KW - Stochastic/Uncertain Systems

KW - Stability

KW - Networks of Autonomous Agents

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U2 - 10.1109/TCNS.2018.2880300

DO - 10.1109/TCNS.2018.2880300

M3 - Article

VL - 6

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EP - 883

JO - IEEE Transactions on Control of Network Systems

JF - IEEE Transactions on Control of Network Systems

SN - 2325-5870

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M1 - 8528873

ER -