Robust stability of stochastic fuzzy delayed neural networks with impulsive time window.

Neural Netw 2015 Jul 27;67:84-91. Epub 2015 Mar 27.

Department of Computer Science, Chongqing University of Education, Chongqing 400067, China. Electronic address:

The urgent problem of impulsive moments which cannot be determined in advance brings new challenges beyond the conventional impulsive systems theory. In order to solve this problem, the novel concept of impulsive time window is proposed in this paper. And the stability problem of stochastic fuzzy uncertain delayed neural networks with impulsive time window is investigated. By combining the discretized Lyapunov function approach with mathematical induction method, several novel and easy-to-check sufficient conditions concerning the impulsive time window are derived to ensure that the model considered here is exponentially stable in mean square. Numerical simulations are presented to further demonstrate the effectiveness of the proposed stability criterion.

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http://dx.doi.org/10.1016/j.neunet.2015.03.010DOI Listing
July 2015
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