SYNCHRONIZATION OF DELAYED INTEGER ORDER AND DELAYED FRACTIONAL ORDER RECURRENT NEURAL NETWORKS SYSTEM WITH ACTIVE SLIDING MODE CONTROL

Chaotic Neural Networks (CNNs) has been gaining a lot of attention and have become a hot topic from researchers with good expectation. To resolve the synchronization's problem of delayed integer order recurrent neural networks (IoDRNNASM) and delayed fractional-order recurrent neural networks (FoDRNNASM), an active sliding mode control (ASMC) scheme is introduced. Factional Lyapunov direct methodology (FLDM) is designed and is enforced to ASMC of the systems to keep the stability of the systems. To investigate the characteristics of IoDRNNASM and FoDRNNASM, we tend to enforce the method of numerical simulation by utilizing MATLAB programming to demonstrate the performance and efficiency of the results. Based on this study, the results show that the synchronization between integer-order and fractional-order will significantly occur once the recommended ASMC is introduced. This main result can provide a great advantage within the area of network security of secure communication by implement double encryption by conducting RSA encryption. We do believe that this idea can improve security and provides strong protection in secure communications. Disciplinary: Mathematics, Computer Science (Network/Cyber Security). 2020 INT TRANS J ENG MANAG SCI TECH.