Time-scale separation based synchronization of two non-identical chaotic neural networks
Seyed Vahid Naghavi, Navid Noroozi, Ali Akbar Safavi · 2011
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.