Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type (Q1941590)
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scientific article; zbMATH DE number 6144290
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type |
scientific article; zbMATH DE number 6144290 |
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Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type (English)
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13 March 2013
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A model for interval fuzzy Cohen-Grossberg neural networks (IFCGNN) with piecewise constant argument is introduced. It is a system alternately with deviation of advanced and delayed types. Some sufficient conditions are given to ensure the existence and uniqueness of a solution. Based on the comparison principle, some sufficient conditions are obtained for global robustly exponential stability of the equilibrium point of IFCGNN. Three examples are given for illustrating the obtained results.
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piecewise constant argument
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fuzzy recurrent neural networks
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global robustly exponential stability
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