Extended Dissipativity Analysis of Delayed Memristive Neural Networks Based on A Parameter-Dependent Lyapunov Functional

2018 ◽  
Author(s):  
Chengda Lu ◽  
Xian-Ming Zhang ◽  
Min Wu ◽  
Qing-Long Han ◽  
Yong He
Keyword(s):  
Neural Networks ◽  
Lyapunov Functional ◽  
Memristive Neural Networks ◽  
Parameter Dependent ◽  
Dissipativity Analysis

scholarly journals Global exponential synchronization of quaternion-valued memristive neural networks with time delays

2020 ◽  
Vol 25 (1) ◽  
Author(s):  
Ruoyu Wei ◽  
Jinde Cao
Keyword(s):  
Neural Networks ◽  
Differential Inclusion ◽  
Lyapunov Functional ◽  
Time Delays ◽  
Exponential Synchronization ◽  
The Other ◽  
Memristive Neural Networks ◽  
Global Synchronization ◽  
New Class ◽  
Inequality Techniques

This paper extends the memristive neural networks (MNNs) to quaternion field, a new class of neural networks named quaternion-valued memristive neural networks (QVMNNs) is then established, and the problem of drive-response global synchronization of this type of networks is investigated in this paper. Two cases are taken into consideration: one is with the conventional differential inclusion assumption, the other without. Criteria for the global synchronization of these two cases are achieved respectively by appropriately choosing the Lyapunov functional and applying some inequality techniques. Finally, corresponding simulation examples are presented to demonstrate the correctness of the proposed results derived in this paper.

scholarly journals Memristive Neural Networks: Zeolite‐Based Memristive Synapse with Ultralow Sub‐10‐fJ Energy Consumption for Neuromorphic Computation (Small 13/2021)

Small ◽  
2021 ◽  
Vol 17 (13) ◽  
pp. 2170057
Author(s):  
Tao Zeng ◽  
Xiaoqin Zou ◽  
Zhongqiang Wang ◽  
Guangli Yu ◽  
Zhi Yang ◽  
...  
Keyword(s):  
Neural Networks ◽  
Energy Consumption ◽  
Memristive Neural Networks
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