Publication

A distance-based approach to strong target control of dynamical networks

van Waarde, H., Camlibel, M. & Trentelman, H., Dec-2017, In : IEEE Transactions on Automatic Control. 62, 12, p. 6266-6277 12 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

van Waarde, H., Camlibel, M., & Trentelman, H. (2017). A distance-based approach to strong target control of dynamical networks. IEEE Transactions on Automatic Control, 62(12), 6266-6277. https://doi.org/10.1109/TAC.2017.2709081

Author

van Waarde, Hendrik ; Camlibel, Mehmet ; Trentelman, Hendrikus. / A distance-based approach to strong target control of dynamical networks. In: IEEE Transactions on Automatic Control. 2017 ; Vol. 62, No. 12. pp. 6266-6277.

Harvard

van Waarde, H, Camlibel, M & Trentelman, H 2017, 'A distance-based approach to strong target control of dynamical networks', IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 6266-6277. https://doi.org/10.1109/TAC.2017.2709081

Standard

A distance-based approach to strong target control of dynamical networks. / van Waarde, Hendrik; Camlibel, Mehmet; Trentelman, Hendrikus.

In: IEEE Transactions on Automatic Control, Vol. 62, No. 12, 12.2017, p. 6266-6277.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

van Waarde H, Camlibel M, Trentelman H. A distance-based approach to strong target control of dynamical networks. IEEE Transactions on Automatic Control. 2017 Dec;62(12):6266-6277. https://doi.org/10.1109/TAC.2017.2709081


BibTeX

@article{8d67651f3ac24a0c92f17c8f0ef58b4a,
title = "A distance-based approach to strong target control of dynamical networks",
abstract = "This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary to fully control large-scale networks, which motivates the control of a prescribed subset of agents of the network. This specific form of output control is known under the name target control. We consider target control of a family of linear control systems associated with a network, and provide both a necessary and a sufficient topological condition under which the network is strongly targeted controllable. Furthermore, a leader selection algorithm is presented to compute leader sets achieving target control.",
author = "{van Waarde}, Hendrik and Mehmet Camlibel and Hendrikus Trentelman",
year = "2017",
month = "12",
doi = "10.1109/TAC.2017.2709081",
language = "English",
volume = "62",
pages = "6266--6277",
journal = "IEEE-Transactions on Automatic Control",
issn = "0018-9286",
publisher = "IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC",
number = "12",

}

RIS

TY - JOUR

T1 - A distance-based approach to strong target control of dynamical networks

AU - van Waarde, Hendrik

AU - Camlibel, Mehmet

AU - Trentelman, Hendrikus

PY - 2017/12

Y1 - 2017/12

N2 - This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary to fully control large-scale networks, which motivates the control of a prescribed subset of agents of the network. This specific form of output control is known under the name target control. We consider target control of a family of linear control systems associated with a network, and provide both a necessary and a sufficient topological condition under which the network is strongly targeted controllable. Furthermore, a leader selection algorithm is presented to compute leader sets achieving target control.

AB - This paper deals with controllability of dynamical networks. It is often unfeasible or unnecessary to fully control large-scale networks, which motivates the control of a prescribed subset of agents of the network. This specific form of output control is known under the name target control. We consider target control of a family of linear control systems associated with a network, and provide both a necessary and a sufficient topological condition under which the network is strongly targeted controllable. Furthermore, a leader selection algorithm is presented to compute leader sets achieving target control.

U2 - 10.1109/TAC.2017.2709081

DO - 10.1109/TAC.2017.2709081

M3 - Article

VL - 62

SP - 6266

EP - 6277

JO - IEEE-Transactions on Automatic Control

JF - IEEE-Transactions on Automatic Control

SN - 0018-9286

IS - 12

ER -

ID: 53982407