Exponential lag synchronization for delayed fuzzy cellular neural networks via periodically intermittent control

2012 ◽  
Vol 82 (5) ◽  
pp. 895-908 ◽  
Author(s):  
Juan Yu ◽  
Cheng Hu ◽  
Haijun Jiang ◽  
Zhidong Teng
Keyword(s):  
Neural Networks ◽  
Cellular Neural Networks ◽  
Intermittent Control ◽  
Fuzzy Cellular Neural Networks ◽  
Lag Synchronization ◽  
Periodically Intermittent Control

scholarly journals Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays

2011 ◽  
Vol 21 (4) ◽  
pp. 649-658 ◽  
Author(s):  
Qianhong Zhang ◽  
Lihui Yang ◽  
Daixi Liao
Keyword(s):  
Neural Networks ◽  
Periodic Solution ◽  
Exponential Stability ◽  
Differential Inequality ◽  
Sufficient Conditions ◽  
Coincidence Degree ◽  
Cellular Neural Networks ◽  
Time Varying ◽  
Fuzzy Cellular Neural Networks ◽  
Inequality Technique

Existence and exponential stability of a periodic solution for fuzzy cellular neural networks with time-varying delays Fuzzy cellular neural networks with time-varying delays are considered. Some sufficient conditions for the existence and exponential stability of periodic solutions are obtained by using the continuation theorem based on the coincidence degree and the differential inequality technique. The sufficient conditions are easy to use in pattern recognition and automatic control. Finally, an example is given to show the feasibility and effectiveness of our methods.

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