Periodic measures of impulsive stochastic differential equations

Dingshi Li and Yusen Lin

Chaos, Solitons & Fractals, 2021, vol. 148, issue C

Abstract: This paper is concerned with the periodic stochastic differential equations with nonlinear impulses. By using the properties of periodic Markov processes, the existence of periodic measures for the impulsive stochastic equations is established. As applications, we study the existence of periodic measures of impulsive periodic stochastic logistic equations and impulsive periodic stochastic neural networks, respectively.

Keywords: Periodic measure; Nonlinear impulse; Stochastic; Logistic equation; Neural network (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077921003891
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:148:y:2021:i:c:s0960077921003891

DOI: 10.1016/j.chaos.2021.111035

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().