Add to ORKGThe main result obtained in this paper is that for a neural network with interconnection matrix T, if -T is quasi-diagonally rowsum or column-sum dominant, then the network system is absolutely stable. The above two sufficient conditions for absolute stability are independent of the existing sufficient ones in the literature. Under either of the above two sufficient conditions for absolute stability, the vector field defined by the network system is also structurally stable. © 1998 IEEE
In this paper, we present new conditions ensuring existence, uniqueness, and Global Asymptotic Stabi...
In this letter, the absolute exponential stability result of neural networks with asymmetric connect...
The paper addresses robustness of complete stability with respect to perturbations of the interconne...
This paper presents new necessary and sufficient conditions for absolute stability of neural network...
This paper presents new necessary and sufficient conditions for absolute stability of neural network...
This letter points out that while a class of conditions presented in Matsuoka K. [1] are truly suffi...
The main result that for a neural circuit of the Hopfield type with a symmetric connection matrix T,...
The main result in this paper is that for a neural circuit of the Hopfield type with a symmetric con...
This letter presents a proof of Kaszkurewicz and Bhaya\u27s conjecture 1 on the absolute stability o...
This brief investigates the absolute exponential stability (AEST) of neural networks with a general ...
This letter points out that a statement in the above letter, 1 saying that the sufficiency part of a...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
This brief studies the complete stability of neural networks with nonmonotonic piecewise linear acti...
In this paper, we prove that for a class of nonsymmetric neural networks with connection matrices T ...
In this paper, we present new conditions ensuring existence, uniqueness, and Global Asymptotic Stabi...
In this letter, the absolute exponential stability result of neural networks with asymmetric connect...
The paper addresses robustness of complete stability with respect to perturbations of the interconne...
This paper presents new necessary and sufficient conditions for absolute stability of neural network...
This paper presents new necessary and sufficient conditions for absolute stability of neural network...
This letter points out that while a class of conditions presented in Matsuoka K. [1] are truly suffi...
The main result that for a neural circuit of the Hopfield type with a symmetric connection matrix T,...
The main result in this paper is that for a neural circuit of the Hopfield type with a symmetric con...
This letter presents a proof of Kaszkurewicz and Bhaya\u27s conjecture 1 on the absolute stability o...
This brief investigates the absolute exponential stability (AEST) of neural networks with a general ...
This letter points out that a statement in the above letter, 1 saying that the sufficiency part of a...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
Globally convergent dynamics of a class of neural networks with normal connection matrices is studie...
This brief studies the complete stability of neural networks with nonmonotonic piecewise linear acti...
In this paper, we prove that for a class of nonsymmetric neural networks with connection matrices T ...
In this paper, we present new conditions ensuring existence, uniqueness, and Global Asymptotic Stabi...
In this letter, the absolute exponential stability result of neural networks with asymmetric connect...
The paper addresses robustness of complete stability with respect to perturbations of the interconne...