Novel criteria for attractivity and stability of non-autonomous nonlinear dynamical systems

In this paper, issues of both attractivity and stability for some classes of nonlinear systems are investigated. New sufficient conditions for practical h-stability of non-autonomous nonlinear systems depending on a parameter are proposed by indefinite Lyapunov functions. We present new converse Lyapunov theorems for non-autonomous systems. The h-stability analysis is achieved with the help of scalar practical h-stable functions. These results are used to study the uniform practical h-stability of non-autonomous perturbed systems.

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Publication Details

Journal
Proceedings of the Romanian Academy Series A Mathematics Physics Technical Sciences Information Science
Published
2025-09-15
DOI
https://doi.org/10.59277/pra-ser.a.26.2.04
Primary Topic
Control and Stability of Dynamical Systems
Type
article
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article

Novel criteria for attractivity and stability of non-autonomous nonlinear dynamical systems

Nizar Hadj Taieb, Mohamed Ali Hammami, Hanen Damak
Proceedings of the Romanian Academy Series A Mathematics Physics Technical Sciences Information Science
Control and Stability of Dynamical Systems
article

Novel criteria for attractivity and stability of non-autonomous nonlinear dynamical systems

Nizar Hadj Taieb, Mohamed Ali Hammami, Hanen Damak
article en

Abstract

In this paper, issues of both attractivity and stability for some classes of nonlinear systems are investigated. New sufficient conditions for practical h-stability of non-autonomous nonlinear systems depending on a parameter are proposed by indefinite Lyapunov functions. We present new converse Lyapunov theorems for non-autonomous systems. The h-stability analysis is achieved with the help of scalar practical h-stable functions. These results are used to study the uniform practical h-stability of non-autonomous perturbed systems.

Proceedings of the Romanian Academy Series A Mathematics Physics Technical Sciences Information ScienceVol. 26(2)
Openalex Percentile: Top 67%
Control and Stability of Dynamical Systems
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