scholarly journals A global asymptotic stability condition for a Lotka–Volterra model with indirect interactions

2018 ◽  
Vol 98 (9) ◽  
pp. 1636-1645
Author(s):  
Mircea T. Sofonea
1989 ◽  
Vol 47 (2) ◽  
pp. 247-262 ◽  
Author(s):  
H. Tz. Chen ◽  
A. S. Douglas ◽  
R. Malek-Madani

2008 ◽  
Vol 18 (01) ◽  
pp. 245-250 ◽  
Author(s):  
SHENGYUAN XU ◽  
JAMES LAM ◽  
DANIEL W. C. HO

This paper considers the problem of stability analysis for neural networks with time-varying delays. The time-varying delays under consideration are assumed to be bounded but not necessarily differentiable. In terms of a linear matrix inequality, a delay-dependent asymptotic stability condition is developed, which ensures the existence of a unique equilibrium point and its global asymptotic stability. The proposed stability condition is easy to check and less conservative. An example is provided to show the effectiveness of the proposed condition.


Sign in / Sign up

Export Citation Format

Share Document