Add to ORKGIn this paper we study a periodic impulsive Hopfield-type neural network system with piecewise constant argument of generalized type. Under general conditions, existence and uniqueness of solutions of such systems are established using ergodicity, Green functions and Gronwall integral inequality. Some sufficient conditions for the existence and stability of periodic solutions are shown and a new stability criterion based on linear approximation is proposed. Examples with constant and nonconstant coefficients are simulated, illustrating the effectiveness of the results
This paper deals with the periodic solutions problem for impulsive differential equations. By using ...
AbstractWe investigate stationary oscillation for high-order Hopfield neural networks with time dela...
This paper is concerned with impulsive cellular neural networks with time-varying delays in leakage ...
© 2018, University of Szeged. All rights reserved. In this paper we study a periodic impulsive Hopfi...
In this paper we study a periodic impulsive Hopfield-type neural network system with piecewise const...
This paper is dedicated to designing periodic impulsive control strategy for generating globally sta...
Last several decades, an immense attention has been paid to the construction and analysis of neural ...
In this article we study a cellular neural network with impulsive effects. By using differential in...
Abstract. As an important tool to study practical problems of biology, engineering and image process...
This paper is concerned with existence, uniqueness and global exponential stability of a periodic so...
We introduce impulsive cellular neural network models with piecewise alternately advanced and retard...
In this study, we develop a model of recurrent neural networks with functional dependence on piecewi...
In this paper, sufficient conditions are established for the existence of almost periodic solutions ...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
This paper deals with the periodic solutions problem for impulsive differential equations. By using ...
AbstractWe investigate stationary oscillation for high-order Hopfield neural networks with time dela...
This paper is concerned with impulsive cellular neural networks with time-varying delays in leakage ...
© 2018, University of Szeged. All rights reserved. In this paper we study a periodic impulsive Hopfi...
In this paper we study a periodic impulsive Hopfield-type neural network system with piecewise const...
This paper is dedicated to designing periodic impulsive control strategy for generating globally sta...
Last several decades, an immense attention has been paid to the construction and analysis of neural ...
In this article we study a cellular neural network with impulsive effects. By using differential in...
Abstract. As an important tool to study practical problems of biology, engineering and image process...
This paper is concerned with existence, uniqueness and global exponential stability of a periodic so...
We introduce impulsive cellular neural network models with piecewise alternately advanced and retard...
In this study, we develop a model of recurrent neural networks with functional dependence on piecewi...
In this paper, sufficient conditions are established for the existence of almost periodic solutions ...
AbstractBy using the continuation theorem of coincidence degree theory and constructing suitable Lya...
The paper considers a general neural network model with impulses at a given sequence of instants, di...
This paper deals with the periodic solutions problem for impulsive differential equations. By using ...
AbstractWe investigate stationary oscillation for high-order Hopfield neural networks with time dela...
This paper is concerned with impulsive cellular neural networks with time-varying delays in leakage ...