Stability and synchronization of memristor-based, coupling neural networks with time-varying delays via intermittent control Academic Article

abstract

• 2015 Elsevier B.V. This paper focuses on the hybrid effects of coupling, time-varying delay, intermittent controller on memristor-based neural networks. Firstly, we constructed an array of linearly coupled memristor-based neural networks with time-varying delay. Secondly, our sufficient conditions, ensuring the stability and synchronization, are dependent on coupling and intermittent control and show coupling and intermittent control on the stability and synchronization of memristor-based neural networks. Finally, numerical simulations were given to verify the theoretical results.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

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

citation count

• 86

complete list of authors

• Zhang, Wei||Li, Chuandong||Huang, Tingwen||Huang, Junjian

publication date

• January 2016

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Memristor-based Coupling Neural Networks (mcnn)
• Periodically Intermittent Control
• STABILITY
• Synchronization
• Time-varying Delays

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2015.08.063

start page

• 1066

end page

• 1072

volume

• 173

URL

• http%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.neucom.2015.08.063