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Simulation and Nonlinear Observer of Multi Scroll Chaotic System

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Application of Big Data, Blockchain, and Internet of Things for Education Informatization (BigIoT-EDU 2022)

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Abstract

At present, the generation of multi scroll chaotic system mainly lies in constructing appropriate nonlinear function to generate multi scroll chaotic system, but the chaotic characteristics of multi scroll chaotic system are not fully analyzed. Because the analysis of multi scroll chaotic system is difficult to use the traditional dynamic theory, and the traditional control theory is difficult to study the control of multi scroll chaotic system, there are few literatures on the analysis and research of multi scroll chaotic system at home and abroad. However, the research on the control and synchronization of multi scroll chaotic system has important theoretical significance and application value for engineering application. The application of multi scroll chaotic system to engineering field has great development prospects.

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References

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Authors and Affiliations

  1. Sanda University, Shanghai, 200135, China

    Hang Zhu

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  1. Hang Zhu
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Correspondence to Hang Zhu .

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Editors and Affiliations

  1. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Mian Ahmad Jan

  2. Department of Computer Science, Abdul Wali Khan University Mardan, Mardan, Pakistan

    Fazlullah Khan

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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Zhu, H. (2023). Simulation and Nonlinear Observer of Multi Scroll Chaotic System. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 467. Springer, Cham. https://doi.org/10.1007/978-3-031-23944-1_29

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  • DOI: https://doi.org/10.1007/978-3-031-23944-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-23943-4

  • Online ISBN: 978-3-031-23944-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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