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Title of Journal: Neural Comput Applic

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Abbravation: Neural Computing and Applications

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Springer London

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DOI

10.1007/bf01584303

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ISSN

1433-3058

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Stability of uncertain impulsive stochastic fuzzy

Authors: Jun Li Manfeng Hu Liuxiao Guo Yongqing Yang Yinghua Jin
Publish Date: 2014/10/01
Volume: 26, Issue: 2, Pages: 417-427
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Abstract

This paper is concerned with the stability problem for a class of impulsive neural networks model which includes simultaneously parameter uncertainties stochastic disturbances and two additive timevarying delays in the leakage term By constructing a suitable Lyapunov–Krasovskii functional that uses the information on the lower and upper bound of the delay sufficiently a delaydependent stability criterion is derived by using the freeweighting matrices method for such Takagi–Sugeno fuzzy uncertain impulsive stochastic recurrent neural networks The obtained conditions are expressed with linear matrix inequalities LMIs whose feasibility can be checked easily by MATLAB LMI Control toolbox Finally the theoretical result is validated by simulations

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