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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doaj-7b6238cb67b94fe69f5d0796050f99a92021-03-29T22:56:56ZengIEEEIEEE Access2169-35362019-01-017341623416910.1109/ACCESS.2019.29032088666635Enhanced Connection Adaption Strategy With Partition ApproachXiaocong Zhu0https://orcid.org/0000-0003-0040-3435Jie Zhou1Yong Zou2Ming Tang3Gaoxi Xiao4School of Physics and Materials Science, East China Normal University, Shanghai, ChinaSchool of Physics and Materials Science, East China Normal University, Shanghai, ChinaSchool of Physics and Materials Science, East China Normal University, Shanghai, ChinaSchool of Information Science Technology, East China Normal University, Shanghai, ChinaSchool of Electrical and Electronic Engineering, Nanyang Technological University, SingaporeThe 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.https://ieeexplore.ieee.org/document/8666635/Complex networkssynchronization controladaptive control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaocong Zhu Jie Zhou Yong Zou Ming Tang Gaoxi Xiao |
spellingShingle |
Xiaocong Zhu Jie Zhou Yong Zou Ming Tang Gaoxi Xiao Enhanced Connection Adaption Strategy With Partition Approach IEEE Access Complex networks synchronization control adaptive control |
author_facet |
Xiaocong Zhu Jie Zhou Yong Zou Ming Tang Gaoxi Xiao |
author_sort |
Xiaocong Zhu |
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 |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
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. |
topic |
Complex networks synchronization control adaptive control |
url |
https://ieeexplore.ieee.org/document/8666635/ |
work_keys_str_mv |
AT xiaocongzhu enhancedconnectionadaptionstrategywithpartitionapproach AT jiezhou enhancedconnectionadaptionstrategywithpartitionapproach AT yongzou enhancedconnectionadaptionstrategywithpartitionapproach AT mingtang enhancedconnectionadaptionstrategywithpartitionapproach AT gaoxixiao enhancedconnectionadaptionstrategywithpartitionapproach |
_version_ |
1724190440918351872 |