Synchronization of coupled delayed switched neural networks with impulsive time window

abstract

• 2016, Springer Science+Business Media Dordrecht. Synchronization of coupled delayed switched neural networks (DSNNs) with impulsive time window is one of the most challenging problems in the field of complex networks. In this paper, some sufficient conditions ensuring the synchronization of coupled DSNNs with all subsystems self-synchronizing are presented. Then this results are extended to the following two cases: all subsystems are desynchronizing and some of subsystems are self-synchronizing. By applying switching Lyapunov function method, some general criteria which characterize the impulse and switching effects in aggregated form are given. Moreover, from our results, one can easily observes that the impulsive time window control strategy is more general and more applicable than the fixed impulses controllers. Finally, numerical simulations are presented to further demonstrate the effectiveness of the proposed results.

authors

• Huang, Tingwen

published proceedings

• NONLINEAR DYNAMICS

author list (cited authors)

• Wang, X., Wang, H., Li, C., & Huang, T.

citation count

• 15

complete list of authors

• Wang, Xin||Wang, Hui||Li, Chuandong||Huang, Tingwen

publication date

• May 2016

publisher

• Springer Nature  Publisher

published in

• Nonlinear Dynamics  Journal

keywords

• Impulsive Time Window
• Neural Networks
• Switching
• Synchronization

Digital Object Identifier (DOI)

• 10.1007/s11071-016-2602-y

start page

• 1747

end page

• 1757

volume

• 84

issue

• 3

URL

• http://dx.doi.org/10.1007/s11071-016-2602-y