Stability of impulsive fractional stochastic integro-differential equations with state dependent delay and Poisson jumps by using Mainardi’s function

In this work, the stability results for a nonlinear mathematical model are derived, and the power system is realized by utilizing fractional calculus theory. The fixed point theorem is used to establish sufficient conditions for the existence of a mild solution and the stability of a nonlinear impul-sive fractional stochastic integro-differential equation with state-dependent delays with Mainardi’s function in a Hilbert space. Numerical simulations are provided to validate the obtained theoretical results. The proposed model supports (i) predicting the instability of synchronization between generators and the lines and (ii) stabilizing the disturbance that occurs in synchronization among generators and the lines.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
DOI
https://doi.org/10.22067/ijnao.2024.87562.1423
Primary Topic
Neural Networks Stability and Synchronization
Type
article
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article

Stability of impulsive fractional stochastic integro-differential equations with state dependent delay and Poisson jumps by using Mainardi’s function

SHILAP Revista de lepidopterología
Neural Networks Stability and Synchronization
article

Stability of impulsive fractional stochastic integro-differential equations with state dependent delay and Poisson jumps by using Mainardi’s function

article en

Abstract

In this work, the stability results for a nonlinear mathematical model are derived, and the power system is realized by utilizing fractional calculus theory. The fixed point theorem is used to establish sufficient conditions for the existence of a mild solution and the stability of a nonlinear impul-sive fractional stochastic integro-differential equation with state-dependent delays with Mainardi’s function in a Hilbert space. Numerical simulations are provided to validate the obtained theoretical results. The proposed model supports (i) predicting the instability of synchronization between generators and the lines and (ii) stabilizing the disturbance that occurs in synchronization among generators and the lines.

SHILAP Revista de lepidopterología
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (IN), National Institute of Technology Meghalaya (IN)
Openalex Percentile: Top 49%
Neural Networks Stability and Synchronization
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Stability of impulsive fractional stochastic integro-differential equations with state dependent delay and Poisson jumps by using Mainardi’s function · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS