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