Skip to main content
Log in

Control of an Adaptive Refinement Technique of Generalized Cell Mapping by System Dynamics

  • Published:
Nonlinear Dynamics Aims and scope Submit manuscript

Abstract

Generalized cell mapping is an efficient and powerful numerical tool for the prediction of the long-term behavior and global analysis of nonlinear dynamic systems. The only drawback of this method is the enormous computational effort it requires for high-dimensional systems. We overcome this problem by adaptively refining a very rough starting cell grid, where the adaptation is controlled by the long-term dynamics of the system. We illustrate the efficiency of our approach by examples.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Dellnitz, M. and Junge, O., 'An adaptive subdivision technique for the approximation of attractors and invariant measures', Computing and Visualization in Science 1, 1998, 63–68.

    Google Scholar 

  2. Dellnitz, M. and Junge, O., 'On the approximation of complicated dynamical behavior', SIAM Journal on Numerical Analysis, 1998, to appear.

  3. Guder, R. and Kreuzer, E., 'Using the generalized cell mapping to approximate invariant measures on compact manifolds', International Journal of Bifurcation and Chaos 7(11), 1997, 2487–2499.

    Google Scholar 

  4. Guder, R., Dellnitz, M., and Kreuzer, E., 'An adaptive method for the approximation of the generalized cell mapping', Chaos, Solitons and Fractals 8(4), 1997, 525–534.

    Google Scholar 

  5. Hsu, C. S., 'A theory of cell-to-cell mapping dynamical systems', Journal of Applied Mechanics 47, 1980, 931–939.

    Google Scholar 

  6. Hsu, C. S., Cell-to-Cell Mapping – A Method of Global Analysis for Nonlinear Systems, Springer-Verlag, New York, 1987.

    Google Scholar 

  7. Hsu, C. S., 'Global analysis by cell mapping', International Journal of Bifurcation and Chaos 2, 1992, 727–771.

    Google Scholar 

  8. Hunt, F. Y., 'A Monte-Carlo approach to the approximation of invariant measures', National Institute of Standards and Technology Report, No. 4980, 1993.

  9. Kreuzer, E., Numerische Untersuchung nichtlinearer dynamischer Systeme, Springer-Verlag, Berlin, 1987.

    Google Scholar 

  10. Lasota, A. and Mackey C., Chaos, Fractals and Noise, Springer-Verlag, New York, 1994.

    Google Scholar 

  11. Li, T. Y., 'Finite approximation of the Frobenius–Perron operator, a solution to Ulam's conjecture', Journal of Approximation Theory 17, 1976, 177–186.

    Google Scholar 

  12. Tongue, B. H. and Gu, K., 'Adaptive mesh strategies for interpolated mapping procedure', International Journal of Engineering Science 27(10), 1989, 1143–1154.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Guder, R., Kreuzer, E. Control of an Adaptive Refinement Technique of Generalized Cell Mapping by System Dynamics. Nonlinear Dynamics 20, 21–32 (1999). https://doi.org/10.1023/A:1008352418599

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008352418599

Navigation