Enhanced connection adaption strategy with partition approach

The control of dynamical networks is a topic of great value with applications across multiple disciplines. An efficient control scheme based on the connection adaption strategy (CAS) has been proposed by Zhou et al. who revealed that the controllability is restricted by the topological distance betw...

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Main Authors: Zhu, Xiaocong, Zhou, Jie, Zou, Yong, Tang, Ming, Xiao, Gaoxi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/106297
http://hdl.handle.net/10220/48881
http://dx.doi.org/10.1109/ACCESS.2019.2903208
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1062972019-12-06T22:08:23Z Enhanced connection adaption strategy with partition approach Zhu, Xiaocong Zhou, Jie Zou, Yong Tang, Ming Xiao, Gaoxi School of Electrical and Electronic Engineering Complex Networks Synchronization Control DRNTU::Engineering::Electrical and electronic engineering The control of dynamical networks is a topic of great value with applications across multiple disciplines. An efficient control scheme based on the connection adaption strategy (CAS) has been proposed by Zhou et al. who revealed that the controllability is restricted by the topological distance between the units and the controller. In this paper, based on the framework of the CAS, we propose a distributed control scheme by partitioning the network space into grids. With this partition approach, the distance between units and controller could be much reduced, resulting in a significant enhancement of the controllability of the dynamical networks. In addition, we introduce an effective length to measure the time-varying topological distance between the mobile units and the controller. The introduced effective length could well reflect the controllability of the dynamical networks with mobile units. MOE (Min. of Education, S’pore) Published version 2019-06-20T08:07:28Z 2019-12-06T22:08:23Z 2019-06-20T08:07:28Z 2019-12-06T22:08:23Z 2019 Journal Article Zhu, X., Zhou, J., Zou, Y., Tang, M., & Xiao, G. (2019). Enhanced connection adaption strategy with partition approach. IEEE Access, 7, 34162-34169. doi:10.1109/ACCESS.2019.2903208 https://hdl.handle.net/10356/106297 http://hdl.handle.net/10220/48881 http://dx.doi.org/10.1109/ACCESS.2019.2903208 en IEEE Access © 2019 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 8 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Complex Networks
Synchronization Control
DRNTU::Engineering::Electrical and electronic engineering
spellingShingle Complex Networks
Synchronization Control
DRNTU::Engineering::Electrical and electronic engineering
Zhu, Xiaocong
Zhou, Jie
Zou, Yong
Tang, Ming
Xiao, Gaoxi
Enhanced connection adaption strategy with partition approach
description The control of dynamical networks is a topic of great value with applications across multiple disciplines. An efficient control scheme based on the connection adaption strategy (CAS) has been proposed by Zhou et al. who revealed that the controllability is restricted by the topological distance between the units and the controller. In this paper, based on the framework of the CAS, we propose a distributed control scheme by partitioning the network space into grids. With this partition approach, the distance between units and controller could be much reduced, resulting in a significant enhancement of the controllability of the dynamical networks. In addition, we introduce an effective length to measure the time-varying topological distance between the mobile units and the controller. The introduced effective length could well reflect the controllability of the dynamical networks with mobile units.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhu, Xiaocong
Zhou, Jie
Zou, Yong
Tang, Ming
Xiao, Gaoxi
format Article
author Zhu, Xiaocong
Zhou, Jie
Zou, Yong
Tang, Ming
Xiao, Gaoxi
author_sort Zhu, Xiaocong
title Enhanced connection adaption strategy with partition approach
title_short Enhanced connection adaption strategy with partition approach
title_full Enhanced connection adaption strategy with partition approach
title_fullStr Enhanced connection adaption strategy with partition approach
title_full_unstemmed Enhanced connection adaption strategy with partition approach
title_sort enhanced connection adaption strategy with partition approach
publishDate 2019
url https://hdl.handle.net/10356/106297
http://hdl.handle.net/10220/48881
http://dx.doi.org/10.1109/ACCESS.2019.2903208
_version_ 1681039236127522816