Reconstruction of Chaotic Attractor for Fractional-order Tamaševičius System Using Recurrent Neural Networks

Author(s):  
Kishore Bingi ◽  
P. Arun Mozhi Devan ◽  
Fawnizu Azmadi Hussin
2020 ◽  
Vol 2 (2) ◽  
pp. 121-126
Author(s):  
Fatin Nabila Abd Latiff ◽  
Wan Ainun Mior Othman

The purpose is to present a method for synchronizing a recurrent neural networks system between integer and fractional-order order delay by active sliding mode control . The Active Sliding Mode Control (ASMC) scheme is used to solve the synchronization problem between the integer-order delayed recurrent neural networks system via active sliding mode control (IoDRNNASM) systems and the fractional-order delay recurrent neural networks system via active sliding mode control (FoDRNNASM) system based on the Lyapunov direct fractional method (LDFM). To explore the behavior of the IoDRNNASM systems and the FoDRNNASM systems, we performed the technique of numerical simulations using MATLAB software to prove the feasibility and strength of the archived outcomes. This concept can also be enhanced with the implementation of double encryption using RSA encryption to secure communication. Because we expected in the future that this enhanced concept will strengthen and increase the network security capabilities that will provide powerful protection in secure communications.


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