Global Stability and Synchronization of Markovian Switching Neural Networks with Stochastic Perturbation and Impulsive Delay Academic Article

abstract

• 2015, Springer Science+Business Media New York. This paper focuses on the hybrid effects of Markovian switching, stochastic perturbation, and impulsive delay on neural networks. First, some novel generic criteria for Markovian switching neural networks with stochastic perturbation and impulsive delay are derived by establishing an extended Halanay differential inequality on impulsive dynamical systems. Second, our sufficient conditions ensuring synchronization are dependent on coupling and impulsive delay, and show coupling and impulsive effects on the synchronization of neural networks. Finally, simulation results demonstrate the effectiveness of the theoretical results.

authors

• Huang, Tingwen

published proceedings

• CIRCUITS SYSTEMS AND SIGNAL PROCESSING

author list (cited authors)

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

citation count

• 22

complete list of authors

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

publication date

• August 2015

publisher

• Springer Nature  Publisher

published in

• Circuits, Systems and Signal Processing  Journal

keywords

• Exponential Synchronization
• Global Stability
• Impulsive Delay
• Markovian Switching
• Neural Networks
• Stochastic Perturbation

Digital Object Identifier (DOI)

• 10.1007/s00034-014-9924-0

start page

• 2457

end page

• 2474

volume

• 34

issue

• 8

URL

• http://dx.doi.org/10.1007/s00034-014-9924-0