Improved Synchronization Criteria for Chaotic Neural Networks with Sampled-data Control Subject to Actuator Saturation

2019 ◽  
Vol 17 (9) ◽  
pp. 2430-2440 ◽  
Author(s):  
Seung Hoon Lee ◽  
Myeong Jin Park ◽  
Oh Min Kwon ◽  
Palanisamy Selvaraj
Keyword(s):  
Neural Networks ◽  
Control Subject ◽  
Actuator Saturation ◽  
Sampled Data ◽  
Chaotic Neural Networks ◽  
Data Control ◽  
Sampled Data Control

scholarly journals Synchronization of Chaotic Neural Networks with Leakage Delay and Mixed Time-Varying Delays via Sampled-Data Control

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Ting Lei ◽  
Qiankun Song ◽  
Zhenjiang Zhao ◽  
Jianxi Yang
Keyword(s):  
Neural Networks ◽  
Functional Method ◽  
Leakage Delay ◽  
Time Varying ◽  
Sampled Data ◽  
Chaotic Neural Networks ◽  
Synchronization Problem ◽  
Data Control ◽  
Sampled Data Control ◽  
The Matrix

This paper investigates the synchronization problem for neural networks with leakage delay and both discrete and distributed time-varying delays under sampled-data control. By employing the Lyapunov functional method and using the matrix inequality techniques, a delay-dependent LMIs criterion is given to ensure that the master systems and the slave systems are synchronous. An example with simulations is given to show the effectiveness of the proposed criterion.

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