Exponential and fixed‐time stabilization of memristive neural networks with mixed delays

2021 ◽  
Author(s):  
Yun Liu ◽  
Xingbao Gao
Keyword(s):  
Neural Networks ◽  
Fixed Time ◽  
Mixed Delays ◽  
Memristive Neural Networks

A new fixed-time stability theorem and its application to the synchronization control of memristive neural networks

2019 ◽  
Vol 349 ◽  
pp. 290-300 ◽  
Author(s):  
Chuan Chen ◽  
Lixiang Li ◽  
Haipeng Peng ◽  
Yixian Yang ◽  
Ling Mi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Fixed Time ◽  
Stability Theorem ◽  
Synchronization Control ◽  
Memristive Neural Networks ◽  
Time Stability

scholarly journals Fixed-time synchronization of coupled memristive neural networks with multi-links and application in secure communication

2021 ◽  
Author(s):  
Hui Zhao ◽  
Aidi Liu ◽  
Qingjie Wang ◽  
Mingwen Zheng ◽  
Chuan Chen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Secure Communication ◽  
Time Synchronization ◽  
Fixed Time ◽  
Stability Theorem ◽  
Memristive Neural Networks ◽  
Time Stability ◽  
Communication Scheme ◽  
Upper Bound Estimate ◽  
Effective Conditions

This paper is devoted to investigating the issues of fixed-time synchronization of coupled memristive neural networks with multi-links (MCMNN). Based on the fixed-time stability criterion and the upper bound estimate formula for the settling time, we propose a secure communication scheme. The network with multi-links performance and coupled form increase the complexity of network topology and the unstable of systems, which improve security of communication in the aspect of encrypt the plaintext signal. We design a proper controller and build the Lyapunov function, several effective conditions are obtained to achieve the fixed-time synchronization of MCMNN. Moreover, the settling times can be estimated for fixed-time synchronization without depending on any initial values. Meanwhile, the plaintext signals can be recovered according to the fixed-time stability theorem. Finally, numerical simulations are given to verify the effectiveness of the theoretical results in fixed-time synchronization of MCMNN, and an example of a secure communication scheme is given to show the usability and superiority based on fixed-time stability theorem.

scholarly journals Adaptive Lag Synchronization of Memristive Neural Networks With Mixed Delays

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 40768-40777 ◽  
Author(s):  
Chuan Chen ◽  
Lixiang Li ◽  
Haipeng Peng ◽  
Yixian Yang
Keyword(s):  
Neural Networks ◽  
Mixed Delays ◽  
Memristive Neural Networks ◽  
Lag Synchronization

scholarly journals Predefined-Time Stability/Synchronization of Coupled Memristive Neural Networks With Multi-Links and Application in Secure Communication

2021 ◽  
Vol 15 ◽  
Author(s):  
Hui Zhao ◽  
Aidi Liu ◽  
Qingjié Wang ◽  
Mingwen Zheng ◽  
Chuan Chen ◽  
...  
Keyword(s):  
Neural Networks ◽  
Secure Communication ◽  
Time Synchronization ◽  
Fixed Time ◽  
Settling Time ◽  
Memristive Neural Networks ◽  
Time Stability ◽  
Synchronization Problem ◽  
Communication Scheme ◽  
The Given

This paper explores the realization of a predefined-time synchronization problem for coupled memristive neural networks with multi-links (MCMNN) via nonlinear control. Several effective conditions are obtained to achieve the predefined-time synchronization of MCMNN based on the controller and Lyapunov function. Moreover, the settling time can be tunable based on a parameter designed by the controller, which is more flexible than fixed-time synchronization. Then based on the predefined-time stability criterion and the tunable settling time, we propose a secure communication scheme. This scheme can determine security of communication in the aspect of encrypting the plaintext signal with the participation of multi-links topology and coupled form. Meanwhile, the plaintext signals can be recovered well according to the given new predefined-time stability theorem. Finally, numerical simulations are given to verify the effectiveness of the obtained theoretical results and the feasibility of the secure communication scheme.

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