Skip to main content

Application of Self-Organizing Migrating Algorithm in Five-Dimensional Chaotic Synchronization Systems via Active-Passive Decomposition

  • Conference paper
  • 1349 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 192))

Abstract

This paper aims to present the combination of chaotic signal and evolutionary algorithm to estimate the unknown parameters in five-dimensional chaotic synchronization system via the active-passive decomposition method. The self-organizing migrating algorithm was used to estimate the unknown parameters. Based on the results from evolutionary algorithm, two identical chaotic systems were synchronized.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, M., Han, Z.: Controlling and synchronizing chaotic genesio system via nonlinear feedback control. Chaos, Solitons & Fractals 17(4), 709–716 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  2. Ding, M., Ott, E.: Enhancing synchronism of chaotic systems. Physical Review E 49(2), 945–948 (1994)

    Article  Google Scholar 

  3. Ivan, Z.: Soma–self organizing migrating algorithm. New Optimization Techniques in Engineering, ch. 7, 33 p. Springer (2004) ISBN pp. 3–540

    Google Scholar 

  4. Kocarev, L., Parlitz, U.: General approach for chaotic synchronization with applications to communication. Physical Review Letters 74(25), 5028–5031 (1995)

    Article  Google Scholar 

  5. Nguyen, T., Zelinka, I.: Using method of artificial intelligence to estimate parameters of chaotic synchronization system. In: Proceedings of 17th International Conference on Soft Computing, vol. 1, pp. 22–29 (2011)

    Google Scholar 

  6. Parlitz, U.: Estimating model parameters from time series by autosynchronization. Physical Review Letters 76(8), 1232–1235 (1996)

    Article  Google Scholar 

  7. Pecora, L., Carroll, T.: Synchronization in chaotic systems. Physical Review Letters 64(8), 821–824 (1990)

    Article  MathSciNet  Google Scholar 

  8. Roy, D., Musielak, Z.: Generalized lorenz models and their routes to chaos. ii. energy-conserving horizontal mode truncations. Chaos, Solitons & Fractals 31(3), 747–756 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  9. Shen, L., Wang, M.: Robust synchronization and parameter identification on a class of uncertain chaotic systems. Chaos, Solitons & Fractals 38(1), 106–111 (2008)

    Article  Google Scholar 

  10. Wu, X., Hu, H., Zhang, B.: Parameter estimation only from the symbolic sequences generated by chaos system. Chaos, Solitons & Fractals 22(2), 359–366 (2004)

    Article  Google Scholar 

  11. Zelinka, I.: Real-time deterministic chaos control by means of selected evolutionary techniques. Engineering Applications of Artificial Intelligence 22(2), 283–297 (2009)

    Article  Google Scholar 

  12. Zelinka, I.: Self-organizing migrating algorithm (2011), http://www.ft.utb.cz/people/zelinka/soma/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thanh Dung Nguyen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nguyen, T.D., Phan, T.T.D., Zelinka, I. (2013). Application of Self-Organizing Migrating Algorithm in Five-Dimensional Chaotic Synchronization Systems via Active-Passive Decomposition. In: Zelinka, I., Rössler, O., Snášel, V., Abraham, A., Corchado, E. (eds) Nostradamus: Modern Methods of Prediction, Modeling and Analysis of Nonlinear Systems. Advances in Intelligent Systems and Computing, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33227-2_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33227-2_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33226-5

  • Online ISBN: 978-3-642-33227-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics