On the Finite-Time Stochastic Stability of Linear Stochastic Systems

This paper addresses the problem of finite-time stability for time invariant linear stochastic systems. By using S-variable approach, Gronwall inequality technique and stochastic methodology in analysis, new theorem of finite-time stochastic stability is proposed and an important corollary for a specific problem is obtained. In fact, we determined sufficient conditions for achieving finite-time stochastic stability, by used matrix inequalities method. Some comparisons with the existing results are given, demonstrating that this new condition of finite-time stochastic stability are less conservative. To illustrate the effectiveness of our findings, we include two illustrative examples.

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Publication Details

Published
2025-02-17
DOI
https://doi.org/10.1109/ssd64182.2025.10989834
Primary Topic
Mathematical Control Systems and Analysis
Type
article
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On the Finite-Time Stochastic Stability of Linear Stochastic Systems

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On the Finite-Time Stochastic Stability of Linear Stochastic Systems

N. Elghoul, Kamel Abderrahim, C. Delattre, B. Bhiri, Michel Zasadziński
article en

Abstract

This paper addresses the problem of finite-time stability for time invariant linear stochastic systems. By using S-variable approach, Gronwall inequality technique and stochastic methodology in analysis, new theorem of finite-time stochastic stability is proposed and an important corollary for a specific problem is obtained. In fact, we determined sufficient conditions for achieving finite-time stochastic stability, by used matrix inequalities method. Some comparisons with the existing results are given, demonstrating that this new condition of finite-time stochastic stability are less conservative. To illustrate the effectiveness of our findings, we include two illustrative examples.

Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Laboratoire de Tribologie et Dynamique des Systèmes (FR), Centre de Recherche en Automatique de Nancy (FR), University of Gabès (TN), Université de Lorraine (FR)
Openalex Percentile: Top 95%
Mathematical Control Systems and Analysis
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