Stability of Differential Equations with Random Impulses and Caputo-Type Fractional Derivatives

In this paper, we study nonlinear differential equations with Caputo fractional derivatives with respect to other functions and impulses. The main characteristic of the impulses is that the time between two consecutive impulsive moments is defined by random variables. These random variables are independent. As the distribution of these random variables is very important, we consider the Erlang distribution. It generalizes the exponential distribution, which is very appropriate for describing the time between the appearance of two consecutive events. We describe a detailed solution to the studied problem, which is a stochastic process. We define the p-exponential stability of the solutions and obtain sufficient conditions. The study is based on the application of appropriate Lyapunov functions. The obtained sufficient conditions depend not only on the nonlinear function and impulsive functions, but also on the function used in the fractional derivative. The obtained results are illustrated using some examples.

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Publication Details

Journal
Axioms
Published
2024-12-04
DOI
https://doi.org/10.3390/axioms13120855
Citations
1
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.40

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article

Stability of Differential Equations with Random Impulses and Caputo-Type Fractional Derivatives

Snezhana Hristova, Radoslava Terzieva, Billur Kaymakçalan
1 citations
Axioms
Fractional Differential Equations Solutions
0.40
article

Stability of Differential Equations with Random Impulses and Caputo-Type Fractional Derivatives

Snezhana Hristova, Radoslava Terzieva, Billur Kaymakçalan
article en
1 citations

Abstract

In this paper, we study nonlinear differential equations with Caputo fractional derivatives with respect to other functions and impulses. The main characteristic of the impulses is that the time between two consecutive impulsive moments is defined by random variables. These random variables are independent. As the distribution of these random variables is very important, we consider the Erlang distribution. It generalizes the exponential distribution, which is very appropriate for describing the time between the appearance of two consecutive events. We describe a detailed solution to the studied problem, which is a stochastic process. We define the p-exponential stability of the solutions and obtain sufficient conditions. The study is based on the application of appropriate Lyapunov functions. The obtained sufficient conditions depend not only on the nonlinear function and impulsive functions, but also on the function used in the fractional derivative. The obtained results are illustrated using some examples.

AxiomsVol. 13(12)
Plovdiv University (BG), Technical University of Sofia (BG), University of Turkish Aeronautical Association (TR)
Bulgarian National Science Fund
Openalex Percentile: Top 38%
Fractional Differential Equations Solutions
0.40
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Stability of Differential Equations with Random Impulses and Caputo-Type Fractional Derivatives — Snezhana Hristova, Radoslava Terzieva, et al. · Axioms (2024) | TGRS Research Map | TGRS