Literature DB >> 20729165

LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations.

Xiaodi Li1, Jianhua Shen.   

Abstract

In this paper, a class of impulsive interval neural networks with discrete and distributed time-varying delays is discussed. Several new sufficient conditions are obtained ensuring the existence, uniqueness, and global exponential stability of periodic solution (i.e., stationary oscillation) for the addressed models based on inequality analysis techniques. The obtained results can be checked easily by the linear matrix inequality control toolbox in MATLAB. Finally, two numerical examples are given to show the effectiveness of our results.

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Year:  2010        PMID: 20729165     DOI: 10.1109/TNN.2010.2061865

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


  1 in total

1.  The stability of impulsive stochastic Cohen-Grossberg neural networks with mixed delays and reaction-diffusion terms.

Authors:  Jie Tan; Chuandong Li; Tingwen Huang
Journal:  Cogn Neurodyn       Date:  2014-11-04       Impact factor: 5.082

  1 in total

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