Connection adaption for control of networked mobile chaotic agents
In this paper, we propose a strategy for the control of mobile chaotic oscillators by adaptively rewiring connections between nearby agents with local information. In contrast to the dominant adaptive control schemes where coupling strength is adjusted continuously according to the states of the osc...
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sg-ntu-dr.10356-896092020-03-07T14:02:39Z Connection adaption for control of networked mobile chaotic agents Zhou, Jie Zou, Yong Guan, Shuguang Liu, Zonghua Xiao, Gaoxi Boccaletti, S. School of Electrical and Electronic Engineering Complexity Institute Complex Networks Nonlinear Phenomena In this paper, we propose a strategy for the control of mobile chaotic oscillators by adaptively rewiring connections between nearby agents with local information. In contrast to the dominant adaptive control schemes where coupling strength is adjusted continuously according to the states of the oscillators, our method does not request adaption of coupling strength. As the resulting interaction structure generated by this proposed strategy is strongly related to unidirectional chains, by investigating synchronization property of unidirectional chains, we reveal that there exists a certain coupling range in which the agents could be controlled regardless of the length of the chain. This feature enables the adaptive strategy to control the mobile oscillators regardless of their moving speed. Compared with existing adaptive control strategies for networked mobile agents, our proposed strategy is simpler for implementation where the resulting interaction networks are kept unweighted at all time. MOE (Min. of Education, S’pore) Published version 2018-06-07T07:21:31Z 2019-12-06T17:29:29Z 2018-06-07T07:21:31Z 2019-12-06T17:29:29Z 2017 Journal Article Zhou, J., Zou, Y., Guan, S., Liu, Z., Xiao, G., & Boccaletti, S. (2017). Connection adaption for control of networked mobile chaotic agents. Scientific Reports, 7(1), 16069-. 2045-2322 https://hdl.handle.net/10356/89609 http://hdl.handle.net/10220/44992 10.1038/s41598-017-16235-2 en Scientific Reports © 2017 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. 8 p. application/pdf |
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Complex Networks Nonlinear Phenomena Zhou, Jie Zou, Yong Guan, Shuguang Liu, Zonghua Xiao, Gaoxi Boccaletti, S. Connection adaption for control of networked mobile chaotic agents |
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In this paper, we propose a strategy for the control of mobile chaotic oscillators by adaptively rewiring connections between nearby agents with local information. In contrast to the dominant adaptive control schemes where coupling strength is adjusted continuously according to the states of the oscillators, our method does not request adaption of coupling strength. As the resulting interaction structure generated by this proposed strategy is strongly related to unidirectional chains, by investigating synchronization property of unidirectional chains, we reveal that there exists a certain coupling range in which the agents could be controlled regardless of the length of the chain. This feature enables the adaptive strategy to control the mobile oscillators regardless of their moving speed. Compared with existing adaptive control strategies for networked mobile agents, our proposed strategy is simpler for implementation where the resulting interaction networks are kept unweighted at all time. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Zhou, Jie Zou, Yong Guan, Shuguang Liu, Zonghua Xiao, Gaoxi Boccaletti, S. |
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Article |
author |
Zhou, Jie Zou, Yong Guan, Shuguang Liu, Zonghua Xiao, Gaoxi Boccaletti, S. |
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Zhou, Jie |
title |
Connection adaption for control of networked mobile chaotic agents |
title_short |
Connection adaption for control of networked mobile chaotic agents |
title_full |
Connection adaption for control of networked mobile chaotic agents |
title_fullStr |
Connection adaption for control of networked mobile chaotic agents |
title_full_unstemmed |
Connection adaption for control of networked mobile chaotic agents |
title_sort |
connection adaption for control of networked mobile chaotic agents |
publishDate |
2018 |
url |
https://hdl.handle.net/10356/89609 http://hdl.handle.net/10220/44992 |
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1681042665629548544 |