Skip to main content

Dynamical Systems with Multiplicative Random Impulse Process Excitation

  • Conference paper
IUTAM Symposium on Nonlinear Stochastic Dynamics

Part of the book series: Solid Mechanics and Its Applications ((SMIA,volume 110))

Abstract

Dynamical systems with multiphcative (parametric) random impulse process excitation are considered. A technique is developed to convert the usual differential equation of motion (physical equation) into an Itô’s type stochastic differential equation for random impulse process excitation multiplicative to the velocity term of the equation of motion. The use is made of the generahzed Itô’s differential rule and of the properties of the increments of the underlying regular random counting process. It is found that the diffusion term rather than the drift term has to be corrected. For linear and quadratic velocity terms the corrected diffusion terms are given in a closed form.

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 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
Hardcover Book
USD 169.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. M. Di Paola and G. Falsone, “Stochastic Dynamics of Nonhnear Systems Driven by Non-normal Delta-correlated Processes,” Journal of Applied Mechanics, ASME, vol. 60, pp. 141–148, 1993.

    Article  MATH  Google Scholar 

  2. M. Di Paola and M. Vasta, “Stochastic Integro-differential and Differential Equations for Non-hnear Systems Excited by Parametric Poisson Pulses,” Int. J. Non-linear Mechanics, vol. 32, no. 5, pp. 855–862, 1997.

    Article  MATH  Google Scholar 

  3. I. I. Gikhman and A. J. Dorogovtsev, “On stability of solutions of stochastic differential equations,” Ukrain., Math. Zhumal, vol. 17, pp. 229–250, 1965 (in Russian).

    Google Scholar 

  4. I. I. Gikhman and A. W. Skorokhod, Stochastic differential equations, Berhn, Springer-Verlag, 1972.

    Book  MATH  Google Scholar 

  5. R. Iwankiewicz and S. R. K. Nielsen, “Advanced methods in stochastic dynamics of nonhnear systems,” Vibration Theory, vol. 4., Aalborg University Press, Denmark, 1999.

    Google Scholar 

  6. R. Iwankiewicz and S. R. K. Nielsen, “Solution techniques for pulse problems in nonhnear stochastic dynamics,” Probabilistic Engineering Mechanics” vol. 15, no. 1, pp. 25–36, 2000.

    Article  Google Scholar 

  7. H. U. Köylüoğlu, S. R. K. Nielsen, and A. S. Çakmak A., “Fast Cell-to-Cell Mapping (Path Integration) with Probability Tails for the the Stochastic Response of Non-Linear White Noise and Poisson Driven Systems,” Structural Safety, vol. 17, pp. 151–165, 1995.

    Article  Google Scholar 

  8. D. L. Snyder, Random point processes. New York, John Wiley, 1975.

    MATH  Google Scholar 

  9. R. L. Stratonovich, “A new form of representing stochastic integrals and equations,” SIAML Control, vol. 4, pp. 362–371, 1966.

    Article  MathSciNet  Google Scholar 

  10. M. Grigoriu, “The Itô and Stratonovich Integrals for Stochastic Differential Equations with Poisson White Noise,” Probabilistic Engineering Mechanics, vol. 13, no. 3, pp. 175–182, 1998.

    Article  Google Scholar 

  11. R. C. Merton, “Option pricing when underlying stock returns are discontinuous,” J. Financial Economics, vol. 3, pp. 125–144, 1976.

    Article  MATH  Google Scholar 

  12. A. Tylikowski, “Vibration of a harmonic oscillator due to a sequence of random colhsions,” Proc. of the Inst, of Machine Design Foundation, no. 13, Warsaw University of Technlogy, 1982, (in Pohsh).

    Google Scholar 

  13. S. K. Srinivasan, Stochastic point processes and their applications. Griffin, London, 1974.

    MATH  Google Scholar 

  14. E. Wong and M. Zakai, “On the relation between ordinary and stochastic differential equations,” International Journal of Engineering Sciences, vol. 3, pp. 213–229, 1965.

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Iwankiewicz, R. (2003). Dynamical Systems with Multiplicative Random Impulse Process Excitation. In: Namachchivaya, N.S., Lin, Y.K. (eds) IUTAM Symposium on Nonlinear Stochastic Dynamics. Solid Mechanics and Its Applications, vol 110. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0179-3_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-010-0179-3_30

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-3985-7

  • Online ISBN: 978-94-010-0179-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics