Global exponential synchronization for coupled switched delayed recurrent neural networks with stochastic perturbation and impulsive effects Academic Article

abstract

• 2014, Springer-Verlag London. This paper focuses on the hybrid effects of stochastic perturbation, system switching, state delays and impulses on neural networks. Based on the Lyapunov functional method, switching analysis techniques, the comparison principle and a new impulsive delay differential inequality, we derive some sufficient conditions which depend on delay and impulses to guarantee the exponential synchronization of the coupling delay switching recurrent neural networks with stochastic perturbation. Simulation results finally demonstrate the effectiveness of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• NEURAL COMPUTING & APPLICATIONS

author list (cited authors)

• Zhang, W., Li, C., Huang, T., & Qi, J.

citation count

• 20

complete list of authors

• Zhang, Wei||Li, Chuandong||Huang, Tingwen||Qi, Jiangtao

publication date

• November 2014

publisher

• Springer Nature  Publisher

published in

• Neural Computing and Applications  Journal

keywords

• Coupled Switched Recurrent Neural Networks (srnn)
• Exponential Synchronization
• Impulsive Effects
• Stochastic Perturbation
• Time Delay

Digital Object Identifier (DOI)

• 10.1007/s00521-014-1608-y

start page

• 1275

end page

• 1283

volume

• 25

issue

• 6

URL

• http://dx.doi.org/10.1007/s00521-014-1608-y