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Stochastic stability for nonlinear systems driven by Lévy noise

  • Northwestern Polytechnical University Xian

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

This paper is to investigate the stochastic stability for nonlinear systems with Lévy process based on Lyapunov exponents. A method of equivalent linearization is proposed to reduce and simplify the original systems. And the mean square responses are carried out to verify the effectiveness of the proposed approach. Then the Lyapunov exponents will be defined and derived to explore the stochastic stability, and two examples are presented to demonstrate the procedure of equivalent linearization and stochastic stability is considered for these two special examples. The results show that the technique of equivalent linearization can be used to study nonlinear systems excited by Lévy noise.

Original languageEnglish
Pages (from-to)7-15
Number of pages9
JournalNonlinear Dynamics
Volume68
Issue number1-2
DOIs
StatePublished - Apr 2012

Keywords

  • Lyapunov exponents
  • Lévy process
  • Stochastic differential equations (SDEs)
  • Stochastic stability
  • The equivalent linearization

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