The coupled complex-valued memristive neural networks (CCVMNNs) are investigated in this study. First, we analyze the passivity of the proposed network model by designing an appropriate controller and using certain inequalities as well as Lyapunov functional method, and provide a passivity condition for the considered CCVMNNs. In addition, a criterion for guaranteeing synchronization of this kind of network is established. Finally, the effectiveness and correctness of the acquired theoretical results are verified by a numerical example
The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are inve...
In this paper, the synchronization issue of memristive neural networks with cooperative and competit...
© 2014 IEEE. This paper presents new theoretical results on the passivity and passification of a cla...
This paper considers two types of coupled reaction-diffusion complex-valued memristive neural networ...
A multi-weighted coupled neural networks (MWCNNs) model with event-triggered communication is studie...
This paper solves the event-triggered passivity problem for multiple-weighted coupled delayed reacti...
In this paper, the model of memristor-based complex-valued neural networks (MCVNNs) with time-varyin...
This paper concentrates on global exponential stability and synchronization for complex-valued neura...
Artificial neural networks (ANNs) are data-driven computing systems inspired by the dynamics and fun...
The network models of multi-weighted coupled neural networks (MWCNNs) and multi-weighted coupled rea...
This paper discusses the passivity of delayed reaction-diffusion memristor-based neural networks (RD...
Funding Information: This work is supported by the National Natural Science Foundation of China (No....
This paper studies the general decay projective synchronization (GDPS) of a class of drive-response ...
Funding Information: This work is supported by The Major Research Project of the National Natural Sc...
In this paper, we intend to discuss the passivity of coupled neural networks (NNs) with reaction–dif...
The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are inve...
In this paper, the synchronization issue of memristive neural networks with cooperative and competit...
© 2014 IEEE. This paper presents new theoretical results on the passivity and passification of a cla...
This paper considers two types of coupled reaction-diffusion complex-valued memristive neural networ...
A multi-weighted coupled neural networks (MWCNNs) model with event-triggered communication is studie...
This paper solves the event-triggered passivity problem for multiple-weighted coupled delayed reacti...
In this paper, the model of memristor-based complex-valued neural networks (MCVNNs) with time-varyin...
This paper concentrates on global exponential stability and synchronization for complex-valued neura...
Artificial neural networks (ANNs) are data-driven computing systems inspired by the dynamics and fun...
The network models of multi-weighted coupled neural networks (MWCNNs) and multi-weighted coupled rea...
This paper discusses the passivity of delayed reaction-diffusion memristor-based neural networks (RD...
Funding Information: This work is supported by the National Natural Science Foundation of China (No....
This paper studies the general decay projective synchronization (GDPS) of a class of drive-response ...
Funding Information: This work is supported by The Major Research Project of the National Natural Sc...
In this paper, we intend to discuss the passivity of coupled neural networks (NNs) with reaction–dif...
The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are inve...
In this paper, the synchronization issue of memristive neural networks with cooperative and competit...
© 2014 IEEE. This paper presents new theoretical results on the passivity and passification of a cla...