Dynamic analysis for the generalized neural networks with time delay and asymmetric structure
Zhanshan Wang · Kongzhi yu juece · 2004
The dynamic behavior of a class of generalized neural networks with time delay and asymmetric (interconnecting) structure is investigated. The sufficient condition for the asymptotic stability of equilibrium point is given via the method of constructing a suitable Lyapunov functional and sector conditions. A small gain condition (obtained) by the corollary is analyzed. Simulation samples demonstrate the effectiveness of the results.