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...
Saved in:
Main Authors: | , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/145076 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-145076 |
---|---|
record_format |
dspace |
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 |
_version_ |
1688665323357601792 |