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Robust exponential stability of uncertain fuzzy Cohen-Grossberg neural networks with time-varying delays. (English) Zbl 1185.68511
Summary: In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analysis for uncertain Cohen-Grossberg neural networks (CGNNs) with time-varying delays. A novel linear matrix inequality based stability criterion is obtained by using Lyapunov functional theory to guarantee the exponential stability of uncertain CGNNs with time varying delays which are represented by T-S fuzzy models. Finally, the proposed stability conditions are demonstrated with numerical examples.
##### MSC:
 68T05 Learning and adaptive systems 93C42 Fuzzy control systems 93D05 Lyapunov and other classical stabilities of control systems
##### Software:
LMI Control Toolbox
##### References:
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