Research on almost sure exponential stability of jump-diffusion neutral stochastic differential delay systems

This article explored the almost sure exponential stability of the neutral stochastic differential delay system (JNSDDS, Equation (2)) with delay τ driven by both the Brownian motion and the Poisson process. It is showed that for each τ=τ0+τ¯ bounded by τ∗=τ0+τ¯∗>τ0, the JNSDDS (2) is almost surely exponentially stable, if the corresponding referenced neutral stochastic differential delay system (RJNSDDS, Equation (3)) with delay τ0 is almost surely exponentially stable. Moreover, an implicit upper bound for τ¯∗ can be ascertained numerically. Finally, explanatory examples are provided.

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Publication Details

Journal
International Journal of General Systems
Published
2026-08-18
DOI
https://doi.org/10.1080/03081079.2026.2718217
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Research on almost sure exponential stability of jump-diffusion neutral stochastic differential delay systems

Weiyin Fei, Chen Fei, Xiaodong Ding, Renzhong Li
International Journal of General Systems
Neural Networks Stability and Synchronization
article

Research on almost sure exponential stability of jump-diffusion neutral stochastic differential delay systems

Weiyin Fei, Chen Fei, Xiaodong Ding, Renzhong Li
article en

Abstract

This article explored the almost sure exponential stability of the neutral stochastic differential delay system (JNSDDS, Equation (2)) with delay τ driven by both the Brownian motion and the Poisson process. It is showed that for each τ=τ0+τ¯ bounded by τ∗=τ0+τ¯∗>τ0, the JNSDDS (2) is almost surely exponentially stable, if the corresponding referenced neutral stochastic differential delay system (RJNSDDS, Equation (3)) with delay τ0 is almost surely exponentially stable. Moreover, an implicit upper bound for τ¯∗ can be ascertained numerically. Finally, explanatory examples are provided.

International Journal of General Systems
University of Shanghai for Science and Technology (CN), Anhui Polytechnic University (CN)
Openalex Percentile: Top 7%
Neural Networks Stability and Synchronization
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