| Home  | About ScienceAsia  | Publication charge  | Advertise with us  | Subscription for printed version  | Contact us  
Editorial Board
Journal Policy
Instructions for Authors
Online submission
Author Login
Reviewer Login
Volume 46 Number 6
Volume 46 Number 5
Volume 46 Number 4
Volume 46 Number 3
Volume 46 Number 2
Volume 46 Number 1
Earlier issues
Volume 45 Number 1 Volume 45 Number 2 Volume 45 Number 3

previous article next article

Research articles

ScienceAsia 45 (2019): 179-186 |doi: 10.2306/scienceasia1513-1874.2019.45.179

Synchronization stability for recurrent neural networks with time-varying delays

Ahmadjan Muhammadhaji*, Azhar Halik

ABSTRACT:     This paper studies the general decay synchronization (GDS) of a class of recurrent neural networks (RNNs) with general activation functions and time-varying delays. By constructing suitable Lyapunov-Krasovskii functionals and employing useful inequality techniques, some sufficient conditions on the GDS of considered RNNs are established via a type of nonlinear control. In addition, an example with numerical simulations is presented to illustrate the obtained theoretical results.

Download PDF

72 Downloads 502 Views

a College of Mathematics and Systems Science, Xinjiang University, Urumqi 830046 China

* Corresponding author, E-mail: ahmatjanam@aliyun.com

Received 8 Jul 2018, Accepted 9 Apr 2019