| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 473635 | Computers & Mathematics with Applications | 2011 | 4 Pages |
Abstract
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.
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Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Tingwen Huang,