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Synchronization of the Fractional Order Finance Systems with Activation Feedback Control

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Book cover Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7002))

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Abstract

Synchronization of fractional order chaotic dynamical systems is receiving increasing attention in recent decades. In this article, a fractional-order financial system is proposed and we utilize active control technique to synchronize this fractional order chaotic dynamical system based on the stability theory of fractional order systems. It is observed that synchronization is faster as the order tends to one. Finally, the numerical simulations are given to verify the feasibility of the results.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Northeast Forestry University, Harbin, 150040, P.R. China

    Yanzhi Wang & Chunrui Zhang

Authors
  1. Yanzhi Wang
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  2. Chunrui Zhang
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Editor information

Editors and Affiliations

  1. School of Business Information Technology, RMIT University, City Campus, 124 La Trobe Street, 3000, Melbourne, VIC, Australia

    Hepu Deng

  2. School of Electronics and Information, Tongji University, 201804, Shanghai, China

    Duoqian Miao

  3. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  4. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Wang, Y., Zhang, C. (2011). Synchronization of the Fractional Order Finance Systems with Activation Feedback Control. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_16

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  • DOI: https://doi.org/10.1007/978-3-642-23881-9_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23880-2

  • Online ISBN: 978-3-642-23881-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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