Control of mobile chaotic agents with jump-based connection adaption strategy

The connection adaption strategy (CAS) has been proposed for the synchronization of networked mobile chaotic agents, which is considered to be a simpler scheme compared to commonly used coupling adaption strategies. However, this strategy only provides a limited range of feasible coupling strength a...

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Main Authors: Zhou, Jie, Zhou, Yinzuo, Xiao, Gaoxi, Stanley, H. Eugene
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/145076
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1450762020-12-10T04:48:06Z Control of mobile chaotic agents with jump-based connection adaption strategy Zhou, Jie Zhou, Yinzuo Xiao, Gaoxi Stanley, H. Eugene School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Connection Adaption Strategy Synchronization Control The connection adaption strategy (CAS) has been proposed for the synchronization of networked mobile chaotic agents, which is considered to be a simpler scheme compared to commonly used coupling adaption strategies. However, this strategy only provides a limited range of feasible coupling strength allowing a success control. In this paper, we develop the CAS by introducing a jump process to resolve this problem. We show that the proposed approach systematically outperforms the original CAS in the whole range of the mobility and the range of feasible coupling strength is extensively expanded. In addition, we show that motion of the agents could be classified into three different regimes. The dynamical features of these motion regimes are analyzed and relevant measures are provided to characterize the controllability of the network in each regime. Ministry of Education (MOE) Published version This work was supported in part by the National Natural Science Foundation of China under Grant 11835003, in part by the Ministry of Education, Singapore, under Contract MOE2016-T2-1-119, and in part by NSF Grant PHY-1505000 and by DTRA Grant HDTRA1-14-1-0017. 2020-12-10T04:48:06Z 2020-12-10T04:48:06Z 2020 Journal Article Zhou, J., Zhou, Y., Xiao, G., & Stanley, H. E. (2020). Control of mobile chaotic agents with jump-based connection adaption strategy. New Journal of Physics, 22(7), 073032-. doi:10.1088/1367-2630/ab9851 1367-2630 https://hdl.handle.net/10356/145076 10.1088/1367-2630/ab9851 7 22 en MOE2016-T2-1-119 New Journal of Physics © 2020 The Author(s). Published by IOP Publishing Ltd on behalf of the Institute of Physics and Deutsche Physikalische Gesellschaft. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Connection Adaption Strategy
Synchronization Control
spellingShingle Engineering::Electrical and electronic engineering
Connection Adaption Strategy
Synchronization Control
Zhou, Jie
Zhou, Yinzuo
Xiao, Gaoxi
Stanley, H. Eugene
Control of mobile chaotic agents with jump-based connection adaption strategy
description The connection adaption strategy (CAS) has been proposed for the synchronization of networked mobile chaotic agents, which is considered to be a simpler scheme compared to commonly used coupling adaption strategies. However, this strategy only provides a limited range of feasible coupling strength allowing a success control. In this paper, we develop the CAS by introducing a jump process to resolve this problem. We show that the proposed approach systematically outperforms the original CAS in the whole range of the mobility and the range of feasible coupling strength is extensively expanded. In addition, we show that motion of the agents could be classified into three different regimes. The dynamical features of these motion regimes are analyzed and relevant measures are provided to characterize the controllability of the network in each regime.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhou, Jie
Zhou, Yinzuo
Xiao, Gaoxi
Stanley, H. Eugene
format Article
author Zhou, Jie
Zhou, Yinzuo
Xiao, Gaoxi
Stanley, H. Eugene
author_sort Zhou, Jie
title Control of mobile chaotic agents with jump-based connection adaption strategy
title_short Control of mobile chaotic agents with jump-based connection adaption strategy
title_full Control of mobile chaotic agents with jump-based connection adaption strategy
title_fullStr Control of mobile chaotic agents with jump-based connection adaption strategy
title_full_unstemmed Control of mobile chaotic agents with jump-based connection adaption strategy
title_sort control of mobile chaotic agents with jump-based connection adaption strategy
publishDate 2020
url https://hdl.handle.net/10356/145076
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