Synchronization of Two Different Chaotic Neural Networks with Unknown Time Delay Using Time-Scale Separation Technique
Mohammad Hossein Shafiabadi, Mohsen Jahanshahi, Seyed Vahid Naghavi, Navid Noroozi, Amir Reza Zare Bidaki · 2013
This paper addresses a novel synchronization scheme between two different kinds of delayed chaotic neural networks (NNs) with unknown parameters. A time-scale separation based technique is used to design the control law which guarantees the semi-global ultimately boundedness of the error synchronization between two different chaotic NNs with unknown time delay. A simulation example is exploited to illustrate the effectiveness of the proposed approach.