International audienceIn this paper, we deal with asymptotic stability in probability of a class of stochastic systems, which is described by a stochastic differential equation having a square root on the diffusion part. This type of equations are usually used for the modeling of some systems such as population dynamics. A sufficient condition which ensures the asymptotic stability in probability of this class of systems is given using a Lyapunov approach
Several results concerning asymptotical mean square stability of equilibria of specific linear stoch...
So far, the Lyapunov direct method is still the most effective technique in the study of stability f...
We consider the problem of determining the sample path stability of a linear stochastic differential...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
International audienceThe aim of this paper is to study the asymptotic uniform stability in probabil...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
The asymptotical and practical stability in probability of stochastic control systems by means of fe...
We extend the well-known Artstein-Sontag theorem by introducing the concept of control Lyapunov func...
This paper investigates a sufficient condition of asymptotic stability in distribution of stochastic...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
Stability of stochastic differential equations (SDEs) has become a very popular theme of recent rese...
This paper studies the stability for nonlinear stochastic discrete-time systems. First of all, sever...
Abstract. We develop a method to prove almost global stability of stochastic differential equations ...
This book is devoted to unstable solutions of stochastic differential equations (SDEs). Despite the ...
Our aims of this paper are twofold: On one hand, we study the asymptotic stability in probability of...
Several results concerning asymptotical mean square stability of equilibria of specific linear stoch...
So far, the Lyapunov direct method is still the most effective technique in the study of stability f...
We consider the problem of determining the sample path stability of a linear stochastic differential...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
International audienceThe aim of this paper is to study the asymptotic uniform stability in probabil...
This article presents a brief survey on the use of Lyapunov method for stochastic differential equat...
The asymptotical and practical stability in probability of stochastic control systems by means of fe...
We extend the well-known Artstein-Sontag theorem by introducing the concept of control Lyapunov func...
This paper investigates a sufficient condition of asymptotic stability in distribution of stochastic...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
Stability of stochastic differential equations (SDEs) has become a very popular theme of recent rese...
This paper studies the stability for nonlinear stochastic discrete-time systems. First of all, sever...
Abstract. We develop a method to prove almost global stability of stochastic differential equations ...
This book is devoted to unstable solutions of stochastic differential equations (SDEs). Despite the ...
Our aims of this paper are twofold: On one hand, we study the asymptotic stability in probability of...
Several results concerning asymptotical mean square stability of equilibria of specific linear stoch...
So far, the Lyapunov direct method is still the most effective technique in the study of stability f...
We consider the problem of determining the sample path stability of a linear stochastic differential...