Title :
Novel approach to cluster synchronization of delayed neural networks
Author :
Xin Biao Lu ; Bu Zhi Qin ; Jing Tang
Author_Institution :
Coll. of Energy & Electr. Eng., Hohai Univ., Nanjing, China
fDate :
May 31 2014-June 2 2014
Abstract :
Cluster synchronization of delayed neural networks with randomly formed clusters is investigated. In this paper, a distributed approach is proposed to make a delayed neural network achieve cluster synchronization. Furthermore, the coupling strength between nodes adopts locally adaptive strategy, which is only based on its local information. A sufficient condition about the global stability of cluster synchronization of delayed neural networks is derived. Numerical simulations show the effectiveness of the strategy.
Keywords :
delays; neural nets; stability; synchronisation; adaptive strategy; cluster synchronization; coupling strength; delayed neural networks; distributed approach; global stability; numerical simulations; sufficient condition; Decision support systems; Locally adaptive; cluster synchronization; delayed; neural networks;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852230
