Synchronization of complex dynamical networks with switching topology via adaptive control

Jing Yao; David J. Hill; Zhi Hong Guan; Hua O. Wang

doi:10.1109/cdc.2006.377558

Synchronization of complex dynamical networks with switching topology via adaptive control

Jing Yao, David J. Hill, Zhi Hong Guan, Hua O. Wang

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

43 Citations (Scopus)

Abstract

In this paper, we study a general complex dynamical network with switching topology and unknown but bounded time-varying couplings. The dynamics of the network nodes are also assumed to be unknown but satisfying some bound conditions. Based on Lyapunov stability theory, adaptive control laws are derived for the network nodes of unknown dynamics to asymptotically synchronize to an isolated node. An example and simulation results are provided for illustration of the network synchronization.

Original language	English
Title of host publication	Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	2819-2824
Number of pages	6
ISBN (Print)	1424401712, 9781424401710
DOIs	https://doi.org/10.1109/cdc.2006.377558
Publication status	Published - 2006
Externally published	Yes
Event	IEEE Conference on Decision and Control 2006 - San Diego, United States of America Duration: 13 Dec 2006 → 15 Dec 2006 Conference number: 45th https://ieeexplore.ieee.org/xpl/conhome/4176992/proceeding (Proceedings)

Conference

Conference	IEEE Conference on Decision and Control 2006
Abbreviated title	CDC 2006
Country/Territory	United States of America
City	San Diego
Period	13/12/06 → 15/12/06
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4176992/proceeding (Proceedings)

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10.1109/cdc.2006.377558

Cite this

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title = "Synchronization of complex dynamical networks with switching topology via adaptive control",

abstract = "In this paper, we study a general complex dynamical network with switching topology and unknown but bounded time-varying couplings. The dynamics of the network nodes are also assumed to be unknown but satisfying some bound conditions. Based on Lyapunov stability theory, adaptive control laws are derived for the network nodes of unknown dynamics to asymptotically synchronize to an isolated node. An example and simulation results are provided for illustration of the network synchronization.",

author = "Jing Yao and Hill, {David J.} and Guan, {Zhi Hong} and Wang, {Hua O.}",

year = "2006",

doi = "10.1109/cdc.2006.377558",

language = "English",

isbn = "1424401712",

pages = "2819--2824",

booktitle = "Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE Conference on Decision and Control 2006, CDC 2006 ; Conference date: 13-12-2006 Through 15-12-2006",

url = "https://ieeexplore.ieee.org/xpl/conhome/4176992/proceeding",

}

Yao, J, Hill, DJ, Guan, ZH & Wang, HO 2006, Synchronization of complex dynamical networks with switching topology via adaptive control. in Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC. IEEE, Institute of Electrical and Electronics Engineers, pp. 2819-2824, IEEE Conference on Decision and Control 2006, San Diego, California, United States of America, 13/12/06. https://doi.org/10.1109/cdc.2006.377558

Synchronization of complex dynamical networks with switching topology via adaptive control. / Yao, Jing; Hill, David J.; Guan, Zhi Hong et al.
Proceedings of the 45th IEEE Conference on Decision and Control 2006, CDC. IEEE, Institute of Electrical and Electronics Engineers, 2006. p. 2819-2824.

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

TY - GEN

T1 - Synchronization of complex dynamical networks with switching topology via adaptive control

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AU - Hill, David J.

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AB - In this paper, we study a general complex dynamical network with switching topology and unknown but bounded time-varying couplings. The dynamics of the network nodes are also assumed to be unknown but satisfying some bound conditions. Based on Lyapunov stability theory, adaptive control laws are derived for the network nodes of unknown dynamics to asymptotically synchronize to an isolated node. An example and simulation results are provided for illustration of the network synchronization.

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T2 - IEEE Conference on Decision and Control 2006

Y2 - 13 December 2006 through 15 December 2006

ER -

Synchronization of complex dynamical networks with switching topology via adaptive control

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