By employing differential inequality technique and Lyapunov functional method, some criteria of global exponential robust stability for the high-order neural networks with S-type distributed time delays are established, which are easy to be verified with a wider adaptive scope
In this paper, based on linear matrix inequality (LMI), by using Lyapunov functional theory, the exp...
AbstractIn this paper, by means of constructing the extended impulsive delayed Halanay inequality an...
A class of interval neural networks with time-varying delays and distributed delays is investigated....
AbstractThis paper discusses a generalized model of high-order Hopfield-type neural networks with ti...
This paper studies the problems of global exponential stability of reaction-diffusion high-order Mar...
AbstractIn this paper, we investigate the global exponential stability of impulsive high-order Hopfi...
AbstractThis paper studies the problem of global asymptotic stability of a class of high-order Hopfi...
In this paper, we consider the global exponential stability of the equilibrium point of Hopfield neu...
The problem of global exponential stability analysis of Impulsive high-order Hopfield-type neural ne...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
This paper concerns the problem of the globally exponential stability of neural networks with discre...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
AbstractIn this paper, we study the global robust stability of neural networks with time varying del...
In this paper, we have derived some sufficient conditions for existence and uniqueness of equilibriu...
In this paper, based on linear matrix inequality (LMI), by using Lyapunov functional theory, the exp...
AbstractIn this paper, by means of constructing the extended impulsive delayed Halanay inequality an...
A class of interval neural networks with time-varying delays and distributed delays is investigated....
AbstractThis paper discusses a generalized model of high-order Hopfield-type neural networks with ti...
This paper studies the problems of global exponential stability of reaction-diffusion high-order Mar...
AbstractIn this paper, we investigate the global exponential stability of impulsive high-order Hopfi...
AbstractThis paper studies the problem of global asymptotic stability of a class of high-order Hopfi...
In this paper, we consider the global exponential stability of the equilibrium point of Hopfield neu...
The problem of global exponential stability analysis of Impulsive high-order Hopfield-type neural ne...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
This paper concerns the problem of the globally exponential stability of neural networks with discre...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
Global exponential stability of a class of discrete-time Hopfield neural networks with variable dela...
AbstractIn this paper, we study the global robust stability of neural networks with time varying del...
In this paper, we have derived some sufficient conditions for existence and uniqueness of equilibriu...
In this paper, based on linear matrix inequality (LMI), by using Lyapunov functional theory, the exp...
AbstractIn this paper, by means of constructing the extended impulsive delayed Halanay inequality an...
A class of interval neural networks with time-varying delays and distributed delays is investigated....
DOI
Add to ORKG