Delay fractioning approach to robust exponential stability of fuzzy Cohen–Grossberg neural networks

In this paper, the problem of robust exponential stability analysis for a class of Takagi–Sugeno (TS) fuzzy Cohen–Grossberg neural networks with uncertainties and time-varying delays is investigated. A generalized activation function is used, and the assumptions such as boundedness, monotony and dif...

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Veröffentlicht in:	Applied mathematics and computation 2014-03, Vol.230, p.451-463
Hauptverfasser:	Mathiyalagan, K., Park, Ju H., Sakthivel, R., Marshal Anthoni, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Activation Computer simulation Delay Delay fractioning technique Exponential stability Fuzzy Cohen–Grossberg neural networks Fuzzy logic Mathematical analysis Mathematical models Neural networks Stability analysis
Online-Zugang:	Volltext
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