Robust stability of delayed fuzzy Cohen-Grossberg neural networks
In this paper, using a linear matrix inequality and a differential inequality, we obtain an exponentially robust stability criterion for interval fuzzy Cohen-Grossberg type neural networks with time-varying delays. The criterion can be easily applied to the design of fuzzy general neural networks. (C) 2010 Elsevier Ltd. All rights reserved.
delays fuzzy cohen-grossberg neural networks linear matrix inequality