Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/89609
Title: Connection adaption for control of networked mobile chaotic agents
Authors: Zhou, Jie
Zou, Yong
Guan, Shuguang
Liu, Zonghua
Xiao, Gaoxi
Boccaletti, S.
Keywords: Complex Networks
Nonlinear Phenomena
Issue Date: 2017
Source: 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-.
Series/Report no.: Scientific Reports
Abstract: 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.
URI: https://hdl.handle.net/10356/89609
http://hdl.handle.net/10220/44992
ISSN: 2045-2322
DOI: 10.1038/s41598-017-16235-2
Schools: School of Electrical and Electronic Engineering 
Research Centres: Complexity Institute 
Rights: © 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/.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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