DocumentCode :
18680
Title :
Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption
Author :
Shiping Wen ; Zhigang Zeng ; Tingwen Huang ; Qinggang Meng ; Wei Yao
Author_Institution :
Sch. of Autom., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
26
Issue :
7
fYear :
2015
fDate :
Jul-15
Firstpage :
1493
Lastpage :
1502
Abstract :
This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the output of the system in the case of packed circuits, since it is hard to measure the inner state of the circuits. Thus, it is critical to design the controller based on the neuron activation function. Comparing the results, in this paper, with the existing ones shows that we improve and generalize the results derived in the previous literature. Several examples are also given to illustrate the effectiveness and potential applications in image encryption.
Keywords :
cryptography; delays; image processing; neural nets; synchronisation; time-varying systems; global exponential lag synchronization; image encryption; neural activation function; switched neural networks; time-varying delays; Biological neural networks; Delays; Educational institutions; Switches; Synchronization; Exponential stability; lag synchronization; switched neural networks; switched neural networks.;
fLanguage :
English
Journal_Title :
Neural Networks and Learning Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2162-237X
Type :
jour
DOI :
10.1109/TNNLS.2014.2387355
Filename :
7010021
Link To Document :
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