Add to ORKGIn this paper, the mean square exponential stabilization problem is in-vestigated for a class of stochastic delayed neural networks with Markovian switching. After proposing an exponential stability condition, our attention is focused on the design of a state feedback controller such that the stochas-tic delayed neural networks with Markovian switching is exponentially stable in mean square. Several stabilization criteria, delay-independent and delay-dependent ones, which are expressed in terms of a set of linear matrix inequal-ities (LMIs), are proposed to stabilize the stochastic delayed neural networks with Markovian switching exponentially. The usefulness and applicability of the developed results are illustrated by means of two numeric...
Abstract In this paper, we first consider the stability problem for a class of stochastic quaternion...
This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks...
Exponential stability in mean square of stochastic delay recurrent neural networks is investigated i...
This paper deals with the global exponential stability analysis problem for a general class of uncer...
In this paper, we solve the mean-square exponential input-to-state stability problem for a class of ...
The exponential stability issue for a class of stochastic neural networks (SNNs) with Markovian jump...
This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neur...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
This paper is concerned with the problem of exponential stability for a class of stochastic neural n...
By using a technique of model transformation of the system, a new type of Lyapunov functional is int...
This brief investigates the problem of mean square exponential stability of uncertain stochastic del...
This paper deals with the problem of exponential stability for a class of uncertain stochastic neura...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
This paper focuses on the exponential stabilization problem for Markov jump neural networks with Tim...
Abstract In this paper, we first consider the stability problem for a class of stochastic quaternion...
This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks...
Exponential stability in mean square of stochastic delay recurrent neural networks is investigated i...
This paper deals with the global exponential stability analysis problem for a general class of uncer...
In this paper, we solve the mean-square exponential input-to-state stability problem for a class of ...
The exponential stability issue for a class of stochastic neural networks (SNNs) with Markovian jump...
This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neur...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
This paper is concerned with the problem of exponential stability for a class of stochastic neural n...
By using a technique of model transformation of the system, a new type of Lyapunov functional is int...
This brief investigates the problem of mean square exponential stability of uncertain stochastic del...
This paper deals with the problem of exponential stability for a class of uncertain stochastic neura...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
This paper is concerned with the problem of mean-square exponential stability of uncertain neural ne...
This paper focuses on the exponential stabilization problem for Markov jump neural networks with Tim...
Abstract In this paper, we first consider the stability problem for a class of stochastic quaternion...
This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks...
Exponential stability in mean square of stochastic delay recurrent neural networks is investigated i...