Dec 16, 2007 · In this paper, the global asymptotic stability problem of TS fuzzy bi-directional associative memories (BAM) neural networks with time-varying ...
In this paper, the global asymptotic stability problem of TS fuzzy bi-directional associative memories (BAM) neural networks with time-varying delays and ...
Robust asymptotic stability of uncertain fuzzy BAM neural networks with time-varying delays · journal article · Published by Elsevier in Fuzzy Sets and Systems.
A novel LMI-based stability criterion is obtained by using LMI optimization algorithms to guarantee the asymptotic stability of uncertain Cohen-Grossberg BAM ...
A novel LMI-based stability criterion is obtained by using LMI optimization algorithms to guarantee the asymptotic stability of uncertain Cohen–Grossberg BAM ...
In this paper, we provide a mathematical formulation of the Takagi-Sugeno Fuzzy Neural Network (TS-FNN) to study convergence properties. Note that we describe ...
Robust stability for uncertain stochastic fuzzy BAM neural ...
ui.adsabs.harvard.edu › abs › abstract
In this Letter, by utilizing the Lyapunov functional and combining with the linear matrix inequality (LMI) approach, we analyze the global asymptotic ...
Lou, X., Cui, B.: Robust asymptotic stability of uncertain fuzzy BAM neural networks with time-varying delays. Fuzzy Sets and Systems 158, 2746–2756 (2007).
This paper presents some new results of robust asymptotic stability analysis for uncertain BAM neural networks with both interval time-varying delays and ...
Oct 18, 2008 · This paper deals with the problem of robust stability for fuzzy bi-directional associative memory (BAM) neural networks with time-varying ...