[[abstract]]The stability for cellular neural networks (CNNs) with timevarying delay is introduced by linear-matrix inequality. A sufficient condition related to the global asymptotic stability for delay CNNs is proposed. It is shown that the condition relies on the dependence of the delay. This condition is less restrictive than that given in the literature
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
Abstract. In this paper, we obtain some criteria for determining the asymptotic stability of the zer...
AbstractThe stability of cellular neural networks (CNNs) with continuous time delay is investigated ...
This brief is concerned with the stability analysis for cellular neural networks with time-varying d...
In this paper, the asymptotic stability is investigated for a class of cellular neural networks with...
This paper addresses the problem of complete stability analysis for cellular neural networks (CNNs) ...
This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the...
This paper considers the problem of stability analysis for neural networks with time-varying delays....
This brief provides improved conditions for the existence of a unique equilibrium point and its glob...
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A n...
AbstractIn this paper, without assuming the boundedness, monotonicity, and differentiability of the ...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
Abstract. In this paper, we obtain some criteria for determining the asymptotic stability of the zer...
AbstractThe stability of cellular neural networks (CNNs) with continuous time delay is investigated ...
This brief is concerned with the stability analysis for cellular neural networks with time-varying d...
In this paper, the asymptotic stability is investigated for a class of cellular neural networks with...
This paper addresses the problem of complete stability analysis for cellular neural networks (CNNs) ...
This paper presents a sufficient condition for the uniqueness and global asymptotic stability of the...
This paper considers the problem of stability analysis for neural networks with time-varying delays....
This brief provides improved conditions for the existence of a unique equilibrium point and its glob...
This paper presents new complete stability results for delayed cellular neural networks (DCNNs). A n...
AbstractIn this paper, without assuming the boundedness, monotonicity, and differentiability of the ...
A new criterion on exponential stability of the equilibrium point for a class of discrete cellular n...
This paper presents sufficient conditions for global asymptotic/exponential stability of neural netw...
This brief presents new sufficient conditions for the global exponential stability of the equilibriu...
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
This correspondence paper focuses on the problem of exponential stability for neural networks with a...
Abstract. In this paper, we obtain some criteria for determining the asymptotic stability of the zer...