SIMULATION OF DC-DC CONVERTER SYMBOLIC DYNAMICS: DETECTION AND IDENTIFICATION OF BIFURCATION TYPES

Authors

  • Abdelaziz Hamzaoui
  • Pavel Ustinov
  • Andrey Sholonik
  • Yury Kolokolov

DOI:

https://doi.org/10.47839/ijc.3.2.297

Keywords:

Simulation, DC-DC buck converter, symbolic model, identification, bifurcation

Abstract

In this paper continuous-time model to discrete-time symbolic model transformation for an algorithmization of the DC-DC buck converter dynamics investigation process is derived. The proposed concept of symbolic index allows evaluate quantitatively the symbolic model change and makes possible the “nonsmooth” bifurcations revealing. The numerical simulation that had been carried out verifies utilizing efficiency of symbolic modeling both as for possible bifurcation pattern forecasting, as for bifurcation type identification.

References

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Published

2014-08-01

How to Cite

Hamzaoui, A., Ustinov, P., Sholonik, A., & Kolokolov, Y. (2014). SIMULATION OF DC-DC CONVERTER SYMBOLIC DYNAMICS: DETECTION AND IDENTIFICATION OF BIFURCATION TYPES. International Journal of Computing, 3(2), 134-139. https://doi.org/10.47839/ijc.3.2.297

Issue

2004, Volume 3, Issue 2

Section

Articles

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