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
Link To Document :
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