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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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 |
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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 |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zhu, Xiaocong Zhou, Jie Zou, Yong Tang, Ming Xiao, Gaoxi |
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Article |
author |
Zhu, Xiaocong Zhou, Jie Zou, Yong Tang, Ming Xiao, Gaoxi |
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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 |
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Enhanced connection adaption strategy with partition approach |
title_sort |
enhanced connection adaption strategy with partition approach |
publishDate |
2019 |
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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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