Search Results - subject:"Bi-directional associative memory neural networks"

New delay-dependent exponential stability criteria of BAM neural networks with time delays

Yang, Degang; Liao, Xiaofeng; Hu, Chunyan; Wang, Yong - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 5, pp. 1679-1697

associative memory neural networks based on the Lyapunov functional method as well as linear matrix inequality technique. To the … time delays. Several new sufficient conditions are presented to ensure global exponential stability of delayed bi-directional …

Persistent link: https://www.econbiz.de/10011051146

Global asymptotic stability of uncertain stochastic bi-directional associative memory networks with discrete and distributed delays

Shu, Huisheng; Wang, Zidong; Lü, Zengwei - In: Mathematics and Computers in Simulation (MATCOM) 80 (2009) 3, pp. 490-505

In this paper, the global asymptotic stability analysis problem is investigated for a class of stochastic bi-directional associative memory (BAM) networks with mixed time-delays and parameter uncertainties. The mixed time-delays consist of both the discrete and the distributed delays, the...

Persistent link: https://www.econbiz.de/10011051238

DELAY-DEPENDENT GLOBAL ROBUST ASYMPTOTIC STABILITY ANALYSIS OF BAM NEURAL NETWORKS WITH TIME DELAY: AN LMI APPROACH

LOU, XU-YANG; CUI, BAO-TONG - In: New Mathematics and Natural Computation (NMNC) 03 (2007) 01, pp. 57-68

The global robust asymptotic stability of bi-directional associative memory (BAM) neural networks with constant or time-varying delays is studied. An approach combining the Lyapunov-Krasovskii functional with the linear matrix inequality (LMI) is taken to study the problem. Some a criteria for...

Persistent link: https://www.econbiz.de/10004970154