On the Exponential Stability of Stochastic Perturbed Singular Systems in Mean Square

The approach of Lyapunov functions is one of the most efficient ones for the investigation of the stability of stochastic systems, in particular, of singular stochastic systems. The main objective of the paper is the analysis of the stability of stochastic perturbed singular systems by using Lyapuno...

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Bibliographic Details
Authors: Caraballo Garrido, Tomás; Ezzine, Faten; Hammami, Mohamed Ali
Format: Article
Status:Published version
Publication date:2021
Country:España
Institution:Universidad de Sevilla (US)
Repository:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/130369
Online Access:https://hdl.handle.net/11441/130369
https://doi.org/10.1007/s00245-020-09734-8
Access Level:Open access
Keyword:Stochastic perturbed singular systems
Consistent initial conditions
Lyapunov techniques
Itô formula
Brownian motion
Nontrivial solution
Practical exponential stability in mean square
Stabilization
Description
Summary:The approach of Lyapunov functions is one of the most efficient ones for the investigation of the stability of stochastic systems, in particular, of singular stochastic systems. The main objective of the paper is the analysis of the stability of stochastic perturbed singular systems by using Lyapunov techniques under the assumption that the initial conditions are consistent. The uniform exponential stability in mean square and the practical uniform exponential stability in mean square of solutions of stochastic perturbed singular systems based on Lyapunov techniques are investigated. Moreover, we study the problem of stability and stabilization of some classes of stochastic singular systems. Finally, an illustrative example is given to illustrate the effectiveness of the proposed results.