Add to ORKGThe stability of stochastic delayed Cellular Neural Networks (DCNN) is investigated in this paper. Using suitable Lyapunov functional and the semimartingale convergence theorem, we obtain some sufficient conditions for checking the almost sure exponential stability of the DCNN
AbstractThe stability of cellular neural networks (CNNs) with continuous time delay is investigated ...
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A n...
This paper focuses on the problem of exponential stability analysis of delayed cellular neural netwo...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This paper presents new sufficient conditions for the global exponential stability of the equilibriu...
The stability of a class of delayed cellular neural networks (DCNN) with or without noise perturbati...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
AbstractIn this paper, the problems of global exponential stability and periodic solutions for a cla...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
AbstractBy using M-matrix theory, some inequality analysis technology and mathematical induction, so...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
Following our recent approach of nonsmooth analysis, we report a new set of sufficient conditions an...
In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossbe...
This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neur...
AbstractThe stability of cellular neural networks (CNNs) with continuous time delay is investigated ...
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A n...
This paper focuses on the problem of exponential stability analysis of delayed cellular neural netwo...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This paper presents new sufficient conditions for the global exponential stability of the equilibriu...
The stability of a class of delayed cellular neural networks (DCNN) with or without noise perturbati...
AbstractA set of criteria is presented for the global exponential stability and the existence of per...
AbstractIn this paper, the problems of global exponential stability and periodic solutions for a cla...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
The authors in their papers (Liao and Mao, Stochast. Anal. Appl. 14 (2) (1996a) 165-185; Neural, Par...
AbstractBy using M-matrix theory, some inequality analysis technology and mathematical induction, so...
This paper is concerned with analyzing mean square exponential stability of stochastic delayed neura...
Following our recent approach of nonsmooth analysis, we report a new set of sufficient conditions an...
In this paper, the exponential stability problems are addressed for a class of delayed Cohen-Grossbe...
This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neur...
AbstractThe stability of cellular neural networks (CNNs) with continuous time delay is investigated ...
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A n...
This paper focuses on the problem of exponential stability analysis of delayed cellular neural netwo...