Title :
Time-scale separation based synchronization of two non-identical chaotic neural networks
Author :
Naghavi, S.V. ; Noroozi, N. ; Safavi, A.A.
Author_Institution :
Sch. of Electr. & Comput. Eng., Shiraz Univ., Shiraz, Iran
Abstract :
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.
Keywords :
chaos; control system synthesis; delays; neural nets; synchronisation; NN; control law design; delayed chaotic neural networks; error synchronization; nonidentical chaotic neural networks; time delays; time-scale separation; Artificial neural networks; Chaotic communication; Delay effects; Neurons; Synchronization;
Conference_Titel :
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-1689-7
DOI :
10.1109/ICCIAutom.2011.6356734
