In this paper, we study the problem of finite-time stability and passivity criteria for discrete-time neural networks (DNNs) with variable delays. The main objective is how to effectively evaluate the finite-time passivity conditions for NNs. To achieve this, some new weighted summation inequalities are proposed for application to a finite-sum term appearing in the forward difference of a novel Lyapunov-Krasovskii functional, which helps to ensure that the considered delayed DNN is passive. The derived passivity criteria are presented in terms of linear matrix inequalities. A numerical example is given to illustrate the effectiveness of the proposed results
[[abstract]]This paper considers the problem of robust delay- dependent Passivity analysis for time-...
This paper is concerned with the problem of passivity analysis of neural networks with an interval t...
This paper investigates the problem of passivity analysis for a class of uncertain discrete-time sto...
In this paper, we study the problem of finite-time stability and passivity criteria for discrete-tim...
In this paper, we present the problem of stability, finite-time stability and passivity for discrete...
The problem of passivity analysis for a class of discrete-time stochastic neural networks (DSNNs) wi...
The neural network time-varying delay was described as the dynamic properties of a neural cell, incl...
This paper is concerned with the problem of passivity analysis for uncertain continuous-time neural ...
Abstract This paper is concerned with the problem of enhanced results on robust finite-time passivit...
In this brief, the problem of passivity analysis is investigated for a class of uncertain neural ne...
The problem of passivity analysis for neural networks with time-varying delays and parameter uncerta...
The objective of this paper to analyze dissipativity of discrete-time neural networks with time-vary...
In this article, we consider the finite-time mixed $H_{\infty }$ /passivity, finite-time stability,...
In this brief, the problem of extended dissipativity analysis for discrete-time neural networks with...
In this paper, we consider the problem of dissipativity and passivity analysis for complex-valued di...
[[abstract]]This paper considers the problem of robust delay- dependent Passivity analysis for time-...
This paper is concerned with the problem of passivity analysis of neural networks with an interval t...
This paper investigates the problem of passivity analysis for a class of uncertain discrete-time sto...
In this paper, we study the problem of finite-time stability and passivity criteria for discrete-tim...
In this paper, we present the problem of stability, finite-time stability and passivity for discrete...
The problem of passivity analysis for a class of discrete-time stochastic neural networks (DSNNs) wi...
The neural network time-varying delay was described as the dynamic properties of a neural cell, incl...
This paper is concerned with the problem of passivity analysis for uncertain continuous-time neural ...
Abstract This paper is concerned with the problem of enhanced results on robust finite-time passivit...
In this brief, the problem of passivity analysis is investigated for a class of uncertain neural ne...
The problem of passivity analysis for neural networks with time-varying delays and parameter uncerta...
The objective of this paper to analyze dissipativity of discrete-time neural networks with time-vary...
In this article, we consider the finite-time mixed $H_{\infty }$ /passivity, finite-time stability,...
In this brief, the problem of extended dissipativity analysis for discrete-time neural networks with...
In this paper, we consider the problem of dissipativity and passivity analysis for complex-valued di...
[[abstract]]This paper considers the problem of robust delay- dependent Passivity analysis for time-...
This paper is concerned with the problem of passivity analysis of neural networks with an interval t...
This paper investigates the problem of passivity analysis for a class of uncertain discrete-time sto...