The asymptotical and practical stability in probability of stochastic control systems by means of feedback laws is provided. The main results of this work enable us to derive the sufficient conditions for the existence of control Lyapunov function that play a leading role in the existence of stabilizing feedback laws. Particularly, the sufficient conditions for practical stability in probability are established and numerical examples are also given to illustrate the usefulness of our results
International audienceOur goal is to give a sufficient condition for feedback stabilization of nonli...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
The asymptotic properties of discrete time stochastic systems operating under feedback is addressed....
Our aims of this paper are twofold: On one hand, we study the asymptotic stability in probability of...
Lyapunov-like characterization for the problem of input-to-state stability in the probability of non...
This paper deals with the global stability for some composite stochastic control systems with nontri...
Lyapunov-like characterization for the problem of input-to-state stability in the probability of non...
summary:In this paper we give sufficient conditions under which a nonlinear stochastic differential ...
We extend the well-known Artstein-Sontag theorem by introducing the concept of control Lyapunov func...
The aim of this paper is to study the problem of nonuniform in time global asymptotic stability in ...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
We introduce the concept of an adaptive control Lyapunov function for the notion of globally asympto...
The problem of the asymptotic stabilizability in probability of a class of stochastic nonlinear cont...
Summarization: The concept of stochastic stability in the pth mean with respect to some of the state...
We prove a converse Lyapunov theorem for almost sure stabilizability and almost sure asymptotic stab...
International audienceOur goal is to give a sufficient condition for feedback stabilization of nonli...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
The asymptotic properties of discrete time stochastic systems operating under feedback is addressed....
Our aims of this paper are twofold: On one hand, we study the asymptotic stability in probability of...
Lyapunov-like characterization for the problem of input-to-state stability in the probability of non...
This paper deals with the global stability for some composite stochastic control systems with nontri...
Lyapunov-like characterization for the problem of input-to-state stability in the probability of non...
summary:In this paper we give sufficient conditions under which a nonlinear stochastic differential ...
We extend the well-known Artstein-Sontag theorem by introducing the concept of control Lyapunov func...
The aim of this paper is to study the problem of nonuniform in time global asymptotic stability in ...
The concepts of stability in probability of nontrivial solutions for stochastic nonlinear systems ar...
We introduce the concept of an adaptive control Lyapunov function for the notion of globally asympto...
The problem of the asymptotic stabilizability in probability of a class of stochastic nonlinear cont...
Summarization: The concept of stochastic stability in the pth mean with respect to some of the state...
We prove a converse Lyapunov theorem for almost sure stabilizability and almost sure asymptotic stab...
International audienceOur goal is to give a sufficient condition for feedback stabilization of nonli...
Stability in the Lyapunov sense for deterministic systems has been well studied since the beginning ...
The asymptotic properties of discrete time stochastic systems operating under feedback is addressed....