scholarly journals Exponential Synchronization of Switched Neural Networks With Mixed Time-Varying Delays via Static/Dynamic Event-Triggering Rules

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 338-347 ◽  
Author(s):  
Yuting Cao ◽  
Shiqin Wang ◽  
Shiping Wen
2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Biwen Li ◽  
Wenbo Zhou

In this paper, we investigate the exponential synchronization problem of memristive neural networks (MNNs) with discrete and distributed time-varying delays under event-triggered control. An event-triggered controller with the static and dynamic event-triggering conditions is designed to improve the efficiency of resource utilization. By constructing a new Lyapunov function, some sufficient criteria are obtained to realize the exponential synchronization of considered drive-response MNNs under the designed event-triggered controller. In addition, the Zeno behavior will not occur by proving that the event-triggering interval has a positive lower bound under different event-triggering conditions. Finally, a numerical example is provided to prove the validity of our theoretical results.


2019 ◽  
Vol 22 (2) ◽  
pp. 1008-1020 ◽  
Author(s):  
Chao Liu ◽  
Dihua Sun ◽  
Zheng Yang ◽  
Xiaoyang Liu ◽  
Hongyu Yang ◽  
...  

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