Mean-square exponential stability of impulsive conformable fractional stochastic differential system with application on epidemic model

R. Kaviya, M. Priyanka and P. Muthukumar

Chaos, Solitons & Fractals, 2022, vol. 160, issue C

Abstract: The main objective of this paper is to analyze the exponential stability of a new problem of an n-dimensional non-linear impulsive conformable stochastic differential system with the various fractional orders. By applying the conversion of the state variable, the solution of the aimed impulsive stochastic differential system is related to the corresponding solution of the non-impulsive system. Then the sufficient conditions for the exponential stability of the proposed impulsive system are accomplished by obtaining sufficient conditions for the exponential stability of the respective non-impulsive system. The novelty of this work is that the Razumikhin stability technique (without using the Lyapunov function) is used to achieve the stability conditions for the impulsive conformable stochastic system. The gained theoretical conclusions are confirmed by applying the conformable stochastic SIR epidemic model with impulsive immigration. Finally, the influence of fractional orders in the dynamical performance of the impulsive conformable stochastic SIR epidemic model is illustrated with graphical representations.

Keywords: Conformable fractional-order system; Impulsive points; Mean-square exponential stability; SIR-epidemic model; Stochastic system (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077922002806
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:160:y:2022:i:c:s0960077922002806

DOI: 10.1016/j.chaos.2022.112070

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. ().