Preview

Mathematical notes of NEFU

Advanced search

On a highly accurate numerical method for studying of the hidden attractors in the piecewise smooth Chua system

https://doi.org/10.25587/2411-9326-2025-3-113-134

Abstract

We consider an adaptation to the piecewise smooth Chua system of the previously developed high-precision numerical method for constructing approximations to unstable solutions of dynamic systems with quadratic nonlinearities on their attractors. Also, a modification of the Benettin–Wolf algorithm for calculating the characteristic Lyapunov exponents of the considered piecewise smooth system is obtained for the mode under consideration. A method based on the least squares method is developed, which makes possible to calculate the averaged estimate of the highest Lyapunov exponent based on the data on the behavior of the linearized dynamic system using a high-precision method over large time intervals. The following results are obtained for hidden attractors in the Chua system: 1) the fractal dimension of the hidden chaotic attractor based on the Poincar´e return statistics, 2) the values of the characteristic Lyapunov exponents for a stable cycle and a chaotic attractor with the use of the developed modification of the Benettin–Wolf algorithm; its efficiency is increased due to parallel computing.

About the Author

A. N. Pchelintsev
Tambov State Technical University
Russian Federation

Alexander N. Pchelintsev

106 Sovetskaya Street, Tambov 392000



References

1. Kuznetsov N. V., Kuznetsova O. A., Leonov G. A., Mokaev T. N., and Stankevich N. V., “Hidden attractors localization in Chua circuit via the describing function method,” IFACPapersOnLine, 50, No. 1, 2651–2656 (2017).

2. Stankevich N. V., Kuznetsov N. V., Leonov G. A., and Chua L. O., “Scenario of the birth of hidden attractors in the Chua circuit,” Int. J. Bifurcation Chaos, 27, No. 12, 1730038 (2017).

3. Kuznetsov N., Kuznetsova O., Leonov G., and Vagaitsev V., “Analytical-numerical localization of hidden attractor in electrical Chua’s circuit,” Lect. Notes Electrical Eng., 174, 149–158 (2013).

4. Krasnoselsky M. A. and Pokrovsky A. V., Systems with Hysteresis [in Russian], Nauka, Moscow (1983).

5. Piiroinen P. T. and Kuznetsov Y. A., “An event-driven method to simulate Filippov systems with accurate computing of sliding motions,” ACM Trans. Math. Softw., 34, No. 3, 13 (2008).

6. Korobitsyn V. V., Frolova Yu. V., and Marenich V. B., “Algorithm for numerical solution of piecewise-stitched systems [in Russian],” Komput. Tekhnol., 13, No. 2, 70–81 (2008).

7. Korobitsyn V. V. and Frolova Yu. V., “Algorithm for numerical solution of differential equations with discontinuous right-hand side [in Russian],” Mat. Struktury Model., No. 15, 46–54 (2005).

8. Korobitsyn V. V., Marenich V. B., and Frolova Yu. V., “Investigation of the behavior of explicit Runge–Kutta methods in solving systems of ordinary differential equations with discontinuous right-hand side [in Russian],” Mat. Struktury Model., No. 17, 19–25 (2007).

9. Korobitsyn V. V. and Frolova Yu. V., “Estimation of the error in calculating the intersection point of the continuation curve of the solution of the Cauchy problem with the discontinuity surface [in Russian],” Mat. Struktury Model., No. 22, 5–14 (2011).

10. Korobitsyn V. V., “On the determination of the intersection point of the curve of the solution of the Cauchy problem with the discontinuity surface [in Russian],” Komput. Tekhnol., 16, No. 4, 50–63 (2011).

11. Belykh V. N., Barabash N. V., and Belykh I. V., “Sliding homoclinic bifurcations in a Lorenztype system: Analytic proofs,” Chaos, 31, 043117 (2021).

12. Korobitsyn V. V. and Frolova Yu. V., “Representation of the algorithm for numerical solution of a hybrid dynamic system with a finite set of discrete states in the form of a finite state machine [in Russian],” Vestn. Omsk. Univ., No. 4, 221–227 (2013).

13. Lim C. W. and Wu B. S., “Accurate higher-order approximations to frequencies of nonlinear oscillators with fractional powers,” J. Sound Vibration, 281, No. 3–5, 1157–1162 (2005).

14. Pchelintsev A. N., “Numerical and physical modeling of the dynamics of the Lorenz system,” Numer. Anal. Appl., 7, No. 2, 159–167 (2014).

15. Lozi R. and Pchelintsev A. N., “A new reliable numerical method for computing chaotic solutions of dynamical systems: the Chen attractor case,” Int. J. Bifurcation Chaos, 25, No. 13, 1550187 (2015).

16. Lozi R., Pogonin V. A., and Pchelintsev A. N., “A new accurate numerical method of approximation of chaotic solutions of dynamical model equations with quadratic nonlinearities,” Chaos Solitons Fractals, 91, 108–114 (2016).

17. Pchelintsev A. N., “An accurate numerical method and algorithm for constructing solutions of chaotic systems,” J. Appl. Nonlin. Dyn., 9, No. 2, 207–221 (2020).

18. Pchelintsev A. N., “On the Poisson stability to study a fourth-order dynamical system with quadratic nonlinearities,” Mathematics, 9, No. 17, 2057 (2021).

19. Pchelintsev A. N., “On a high-precision method for studying attractors of dynamical systems and systems of explosive type,” Mathematics, 10, No. 8, 1207 (2022).

20. Pchelintsev A. N., Polunovskiy A. A., and Yukhanova I. Yu., “The harmonic balance method for finding approximate periodic solutions of the Lorenz system [in Russian],” Vestn. Ros. Univ. Mat., 24, No. 126, 187–203 (2019).

21. Nemytskii V. V. and Stepanov V. V., Qualitative Theory of Differential Equations, Dover Publ., New York (1989).

22. Krasnoselsky M. A., Shift Operator Along the Trajectories of Differential Equations [in Russian], Nauka, Moscow (1966).

23. Pchelintsev A. N., “The high-precision computations for modeling nonlinear dynamic systems with attractors [in Russian],” in: Computer Science: Problems, Methods, Technologies (ed. D. N. Borisov), Proc. XXII Int. Sci. Pract. Algazinov Conf. (Voronezh, Feb. 10–12, 2022), pp. 437–443, Voronezh (2022).

24. The high-performance C++ interface for MPFR library. https://github.com/advanpix/mpreal.

25. Bakhvalov N. S., Zhidkov N. P., and Kobelkov G. M., Numerical Methods [in Russian], BINOM, Moscow (2011).

26. Wolf A., Jack B., Swift J. B., Swinney H. L., and Vastano J. A., “Determining Lyapunov exponents from a time series,” Phys. D, Nonlin. Phenomena, 16, No. 3, 285–317 (1985).

27. Kuznetsov S. P., Dynamic Chaos [in Russian], Fizmatlit, Moscow (2006).

28. Malinetsky G. G., Potapov A. B., and Podlazov A. V., Nonlinear Dynamics: Approaches, Results, Hopes [in Russian], LIBROCOM, Moscow (2016).

29. Fousse L., Guillaume H., Lef`evre V., P´elissier P., and Zimmermann P., “MPFR: A multipleprecision binary floating-point library with correct rounding,” ACM Trans. Math. Software (TOMS), 33, No. 2, 13 (2007).

30. Ostrovskii V. Yu., Rybin V. G., Karimov A. I., and Butusov D. N., “Inducing multistability in discrete chaotic systems using numerical integration with variable symmetry,” Chaos Solitons Fractals, 165, 112794 (2022).

31. Yan H., Jiang J., and Hong L., “The birth of a hidden attractor through boundary crisis,” Int. J. Bifurcation Chaos, 32, No. 2, 2230005 (2022).

32. Grinchenko V. T., Matsypura V. T., and Snarsky A. A., Introduction to Nonlinear Dynamics: Chaos and Fractals [in Russian], LENAND, Moscow (2019).

33. Maxima Computer Algebra System http://maxima.sourceforge.net/ru/.

34. Kac M., Uhlenbeck G. E., Hibbs A. R., Pol B. V. D., and Gillis J., Probability and Related Topics in Physical Sciences, Intersci., New York (1959).

35. Anishchenko V. S., Boev Y. I., Semenova N. I., and Strelkova G. I., “Local and global approaches to the problem of Poincar´e recurrences. Applications in nonlinear dynamics,” Phys. Rep., 587, 1–39 (2015).

36. Gao J. B., “Recurrence time statistics for chaotic systems and their applications,” Phys. Rev. Lett., 83, No. 16, 3178–3181 (1999).

37. Pchelintsev A. N., Certificate of state registration of the computer program No. 2024616332, The software package for numerical modeling of the dynamics of the Chua system based on parallel algorithms, Reg. March 19, 2024.


Review

For citations:


Pchelintsev A.N. On a highly accurate numerical method for studying of the hidden attractors in the piecewise smooth Chua system. Mathematical notes of NEFU. 2025;32(3):113-134. (In Russ.) https://doi.org/10.25587/2411-9326-2025-3-113-134

Views: 6

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2411-9326 (Print)
ISSN 2587-876X (Online)