Skip to main content

Comparison of Swarm and Evolutionary Based Algorithms for the Stabilization of Chaotic Oscillations

  • Conference paper
  • First Online:
AETA 2016: Recent Advances in Electrical Engineering and Related Sciences (AETA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 415))

  • 2042 Accesses

Abstract

In this research, evolutionary based algorithm Differential Evolution (DE) is compared with swarm based optimization technique PSO in the task of optimal evolutionary tuning of controller parameters for the stabilization of nonlinear chaotic oscillations of the two-dimensional Lozi map. The novelty of the approach is that the most utilized examples of evolutionary/swarm based algorithms are compared directly on the highly nonlinear and complex multimodal optimization and simulation task. The simulations were performed for two different required final behavior of the chaotic system.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Institutional subscriptions

References

  1. Ott, E., Grebogi, C., Yorke, J.A.: Controlling chaos. Phys. Rev. Lett. 64(11), 1196–1199 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  2. Zelinka, I.: Real-time deterministic chaos control by means of selected evolutionary techniques. Eng. Appl. Artif. Intell. 22(2), 283–297 (2009)

    Article  Google Scholar 

  3. Zelinka, I., Senkerik, R., Navratil, E.: Investigation on evolutionary optimization of chaos control. Chaos Solitons Fractals 40(1), 111–129 (2009)

    Article  MATH  Google Scholar 

  4. Senkerik, R., Zelinka, I., Davendra, D., Oplatkova, Z.: Utilization of SOMA and differential evolution for robust stabilization of chaotic Logistic equation. Comput. Math Appl. 60(4), 1026–1037 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  5. Pyragas, K.: Control of chaos via extended delay feedback. Phys. Lett. A 206(5–6), 323–330 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  6. Senkerik, R., Kominkova Oplatkova, Z., Zelinka, I., Chramcov, B., Davendra, D., Pluhacek, M.: Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems. Soft. Comput. 18(4), 651–668 (2014)

    Article  Google Scholar 

  7. Senkerik, R., Oplatkova, Z., Zelinka, I., Davendra, D.: Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: analytic programming. Math. Comput. Model. 57(1–2), 57–67 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. Yuhui, S., Eberhart, R.: A modified particle swarm optimizer. In: IEEE World Congress on Computational Intelligence, 4–9 May 1998, pp. 69–73 (1998)

    Google Scholar 

  9. Abedini, M., Vatankhah, R., Assadian, N.: Stabilizing chaotic system on periodic orbits using multi-interval and modern optimal control strategies. Commun. Nonlinear Sci. Numer. Simul. 17(10), 3832–3842 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  10. Sadeghpour, M., Salarieh, H., Vossoughi, G., Alasty, A.: Multi-variable control of chaos using PSO-based minimum entropy control. Commun. Nonlinear Sci. Numer. Simul. 16(6), 2397–2404 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  11. Coelho, L., Grebogi, R.B.: Chaotic synchronization using PID control combined with population based incremental learning algorithm. Expert Syst. Appl. 37(7), 5347–5352 (2010)

    Article  Google Scholar 

  12. Richter, H., Reinschke, K.J.: Optimization of local control of chaos by an evolutionary algorithm. Phys. D Nonlinear Phenom. 144(3–4), 309–334 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  13. Sprott, J.C.: Chaos and Time-Series Analysis. Oxford University Press, Oxford (2003)

    MATH  Google Scholar 

  14. Aziz-Alaoui, M.A., Robert, C., Grebogi, C.: Dynamics of a Hénon–Lozi-type map. Chaos Solitons Fractals 12(12), 2323–2341 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  15. Das, S., Mullick, S.S., Suganthan, P.: Recent advances in differential evolution – an updated survey. Swarm Evol. Comput. 27, 1–30 (2016)

    Article  Google Scholar 

  16. Price, K.V., Storn, R.M., Lampinen, J.A.: Differential Evolution - A Practical Approach to Global Optimization. Natural Computing Series. Springer, Berlin (2005)

    MATH  Google Scholar 

Download references

Acknowledgements

This work was supported by Grant Agency of the Czech Republic - GACR P103/15/06700S, further by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089, partially supported by Grant of SGS No. SP2016/175 of VSB - Technical University of Ostrava, Czech Republic and by Internal Grant Agency of Tomas Bata University under the project No. IGA/CebiaTech/2016/007.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roman Senkerik .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Senkerik, R., Zelinka, I., Pluhacek, M., Viktorin, A. (2017). Comparison of Swarm and Evolutionary Based Algorithms for the Stabilization of Chaotic Oscillations. In: Duy, V., Dao, T., Kim, S., Tien, N., Zelinka, I. (eds) AETA 2016: Recent Advances in Electrical Engineering and Related Sciences. AETA 2016. Lecture Notes in Electrical Engineering, vol 415. Springer, Cham. https://doi.org/10.1007/978-3-319-50904-4_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-50904-4_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50903-7

  • Online ISBN: 978-3-319-50904-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics