This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of linear matrix inequalities. Two examples are presented which show our result are less conservative than the existing stability criteria
This paper focuses on the problem of delay-dependent stability analysis of neural networks with vari...
This brief focuses on the problem of delay-dependent stability analysis of neural networks with vari...
The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
This brief investigates the problem of mean square exponential stability of uncertain stochastic del...
By using a technique of model transformation of the system, a new type of Lyapunov functional is int...
This paper deals with the problem of exponential stability for a class of uncertain stochastic neura...
This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks...
This paper investigates the problem of exponential stability for a class of uncertain discrete-time ...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
In this paper, we solve the mean-square exponential input-to-state stability problem for a class of ...
AbstractThe stability of a class of stochastic Recurrent Neural Networks with time-varying delays is...
In this paper, the robust exponential stability problem of discrete-time uncertain stochastic neural...
This paper deals with the global exponential stability analysis problem for a general class of uncer...
[[abstract]]This paper investigates the global delay-dependent robust stability in the mean square f...
This paper focuses on the problem of delay-dependent stability analysis of neural networks with vari...
This brief focuses on the problem of delay-dependent stability analysis of neural networks with vari...
The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
This brief investigates the problem of mean square exponential stability of uncertain stochastic del...
By using a technique of model transformation of the system, a new type of Lyapunov functional is int...
This paper deals with the problem of exponential stability for a class of uncertain stochastic neura...
This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks...
This paper investigates the problem of exponential stability for a class of uncertain discrete-time ...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
In this paper, we solve the mean-square exponential input-to-state stability problem for a class of ...
AbstractThe stability of a class of stochastic Recurrent Neural Networks with time-varying delays is...
In this paper, the robust exponential stability problem of discrete-time uncertain stochastic neural...
This paper deals with the global exponential stability analysis problem for a general class of uncer...
[[abstract]]This paper investigates the global delay-dependent robust stability in the mean square f...
This paper focuses on the problem of delay-dependent stability analysis of neural networks with vari...
This brief focuses on the problem of delay-dependent stability analysis of neural networks with vari...
The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven...