Title of article
Exponential stability of stochastic reaction–diffusion uncertain fuzzy neural networks with mixed delays and Markovian jumping parameters
Author/Authors
Balasubramaniam، نويسنده , , P. and Vidhya، نويسنده , , C.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
7
From page
3109
To page
3115
Abstract
In this paper, we investigate the robust exponential stability for stochastic reaction–diffusion uncertain fuzzy neural networks with mixed delays and Markovian jump parameters. By constructing a suitable Lyapunov functional and utilizing some inequality techniques, we obtain sufficient conditions for the exponential stability of the equilibrium solution. The obtained stability criteria can be easily checked by linear matrix inequality (LMI) techniques. Finally numerical examples are provided to illustrate the obtained theoretical result.
Keywords
Reaction–diffusion terms , Robust exponential stability , Stochastic fuzzy neural networks , Uncertain system , Markovian jump , mixed delays
Journal title
Expert Systems with Applications
Serial Year
2012
Journal title
Expert Systems with Applications
Record number
2351248
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