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Transmission Synchronization Control of Multiple Non-identical Coupled Chaotic Systems

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Advances in Neural Networks – ISNN 2016 (ISNN 2016)

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Abstract

In this paper, we investigate the transmission projective synchronization control problem for multiple, non-identical, coupled chaotic systems. By considering the influence of the occurrence of a fault between a driving system and a responding system, we define our new transmission synchronization scheme. After that, control laws are designed to achieve transmission projective synchronization and a simple stability criteria is obtained for reaching the transmission synchronization among multi-systems. A numerical example is used to verify the effectiveness of the synchronization within a desired scaling factor.

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Acknowledgement

This work was supported in part by the Applied Mathematics Enhancement Program (AMEP) of Linyi University and the National Natural Science Foundation of China (No.61403179, 61273012), by a Project of the Postdoctoral Sustentation Fund of Jiangsu Province under Grant 1402042B.

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Authors and Affiliations

  1. Department of Mathematics, Southeast University, Nanjing, 210096, China

    Xiangyong Chen, Jinde Cao & Chengdong Yang

  2. School of Sciences, Linyi University, Linyi, 276005, China

    Xiangyong Chen & Jianlong Qiu

  3. School of Informatics, Linyi University, Linyi, 276005, China

    Chengdong Yang

Authors
  1. Xiangyong Chen
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  2. Jinde Cao
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  3. Jianlong Qiu
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  4. Chengdong Yang
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Corresponding author

Correspondence to Jianlong Qiu .

Editor information

Editors and Affiliations

  1. The Chinese Academy of Sciences, Beijing, China

    Long Cheng

  2. Huazhong University of Science and Tech., Wuhan, Jiangsu, China

    Qingshan Liu

  3. Russian Academy of Sciences, SPIIRAS, St. Petersburg, Russia

    Andrey Ronzhin

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Chen, X., Cao, J., Qiu, J., Yang, C. (2016). Transmission Synchronization Control of Multiple Non-identical Coupled Chaotic Systems. In: Cheng, L., Liu, Q., Ronzhin, A. (eds) Advances in Neural Networks – ISNN 2016. ISNN 2016. Lecture Notes in Computer Science(), vol 9719. Springer, Cham. https://doi.org/10.1007/978-3-319-40663-3_33

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  • DOI: https://doi.org/10.1007/978-3-319-40663-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40662-6

  • Online ISBN: 978-3-319-40663-3

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