Publication

Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations

Kawano, Y. & Cao, M., 1-Nov-2019, In : IEEE-Transactions on Automatic Control. 64, 11, p. 4607-4614 8 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Kawano, Y., & Cao, M. (2019). Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations. IEEE-Transactions on Automatic Control, 64(11), 4607-4614. https://doi.org/10.1109/TAC.2019.2901822

Author

Kawano, Yu ; Cao, Ming. / Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations. In: IEEE-Transactions on Automatic Control. 2019 ; Vol. 64, No. 11. pp. 4607-4614.

Harvard

Kawano, Y & Cao, M 2019, 'Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations', IEEE-Transactions on Automatic Control, vol. 64, no. 11, pp. 4607-4614. https://doi.org/10.1109/TAC.2019.2901822

Standard

Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations. / Kawano, Yu; Cao, Ming.

In: IEEE-Transactions on Automatic Control, Vol. 64, No. 11, 01.11.2019, p. 4607-4614.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Kawano Y, Cao M. Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations. IEEE-Transactions on Automatic Control. 2019 Nov 1;64(11):4607-4614. https://doi.org/10.1109/TAC.2019.2901822


BibTeX

@article{21440bb3f2924ae793f6c4fd022e096e,
title = "Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations",
abstract = "We define and then study the structural controllability and observability for a class of complex networks whose dynamics are governed by the nonlinear balance equations. Although related notions of observability for such complexnetworks have been studied before and in particular, necessary conditions have been reported to select sensor nodes in order to render such a given network observable, there still remain various challenging open problems, especially from the systems and control point of view. The reason is partly that driver andsensor node selection problems for nonlinear complex networks have not been studied systematically, which differs greatly from the relatively comprehensive mathematical development for the linear counterpart. In this paper, based on our refined notions of structural controllability and observability, we construct theirnecessary conditions for nonlinear complex networks, which are further applied to those networks governed by nonlinear balance equations in order to develop a systematic driver node selection method. Furthermore, we establish a connection between our necessary conditions for structural observability and the conventional sensor node selection method.",
keywords = "Complex networks, Observability, Controllability, Nonlinear systems, Mathematical model, Systematics, Oscillators, Driver node identification, Structural controllability, CONTROLLABILITY",
author = "Yu Kawano and Ming Cao",
year = "2019",
month = "11",
day = "1",
doi = "10.1109/TAC.2019.2901822",
language = "English",
volume = "64",
pages = "4607--4614",
journal = "IEEE-Transactions on Automatic Control",
issn = "0018-9286",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "11",

}

RIS

TY - JOUR

T1 - Structural Accessibility and Its Applications to Complex Networks Governed by Nonlinear Balance Equations

AU - Kawano, Yu

AU - Cao, Ming

PY - 2019/11/1

Y1 - 2019/11/1

N2 - We define and then study the structural controllability and observability for a class of complex networks whose dynamics are governed by the nonlinear balance equations. Although related notions of observability for such complexnetworks have been studied before and in particular, necessary conditions have been reported to select sensor nodes in order to render such a given network observable, there still remain various challenging open problems, especially from the systems and control point of view. The reason is partly that driver andsensor node selection problems for nonlinear complex networks have not been studied systematically, which differs greatly from the relatively comprehensive mathematical development for the linear counterpart. In this paper, based on our refined notions of structural controllability and observability, we construct theirnecessary conditions for nonlinear complex networks, which are further applied to those networks governed by nonlinear balance equations in order to develop a systematic driver node selection method. Furthermore, we establish a connection between our necessary conditions for structural observability and the conventional sensor node selection method.

AB - We define and then study the structural controllability and observability for a class of complex networks whose dynamics are governed by the nonlinear balance equations. Although related notions of observability for such complexnetworks have been studied before and in particular, necessary conditions have been reported to select sensor nodes in order to render such a given network observable, there still remain various challenging open problems, especially from the systems and control point of view. The reason is partly that driver andsensor node selection problems for nonlinear complex networks have not been studied systematically, which differs greatly from the relatively comprehensive mathematical development for the linear counterpart. In this paper, based on our refined notions of structural controllability and observability, we construct theirnecessary conditions for nonlinear complex networks, which are further applied to those networks governed by nonlinear balance equations in order to develop a systematic driver node selection method. Furthermore, we establish a connection between our necessary conditions for structural observability and the conventional sensor node selection method.

KW - Complex networks

KW - Observability

KW - Controllability

KW - Nonlinear systems

KW - Mathematical model

KW - Systematics

KW - Oscillators

KW - Driver node identification

KW - Structural controllability

KW - CONTROLLABILITY

U2 - 10.1109/TAC.2019.2901822

DO - 10.1109/TAC.2019.2901822

M3 - Article

VL - 64

SP - 4607

EP - 4614

JO - IEEE-Transactions on Automatic Control

JF - IEEE-Transactions on Automatic Control

SN - 0018-9286

IS - 11

ER -

ID: 77881568