Finite-time lag synchronization of delayed neural networks Academic Article

abstract

• In this paper, a finite-time lag synchronization of coupled neural networks with time delay is investigated. By means of the Lyapunov stability theory, a feedback controller is designed for achieving lag synchronization between two delayed neural networks systems in finite time. Paper extends some basic results from the area of finite time to time-delay systems. Numerical simulations on coupled Lu neural systems illustrate the effectiveness of the results. 2014 Elsevier B.V.

authors

• Huang, Tingwen

published proceedings

• NEUROCOMPUTING

author list (cited authors)

• Huang, J., Li, C., Huang, T., & He, X.

citation count

• 72

complete list of authors

• Huang, Junjian||Li, Chuandong||Huang, Tingwen||He, Xing

publication date

• September 2014

publisher

• Elsevier  Publisher

published in

• Neurocomputing  Journal

keywords

• Finite Time Stability Theory
• Lag Synchronization
• Lyapunov Stability Theorem
• Neural Networks
• Time Delay

Digital Object Identifier (DOI)

• 10.1016/j.neucom.2014.02.050

start page

• 145

end page

• 149

volume

• 139

URL

• http://dx.doi.org/10.1016/j.neucom.2014.02.050