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: Xiaocong Zhu, Jie Zhou, Yong Zou, Ming Tang, Gaoxi Xiao
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8666635/
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spelling 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
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