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《第36届中国控制会议论文集(C)》2017年
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Robust dissipativity control for uncertain neural networks with time-varying delays

Xiaoyan Qin  
【摘要】:In this paper,the problem of the robust dissipativity is studied for a class of uncertain neural networks with timevarying delays.By constructing appropriate Lyapunov-Krasovskii functional,using linear matrix inequality(LMI) technique,several new criteria are obtained,moreover,these conditions are expressed in terms of LMI and can be easily checked by Matlab LMI toolbox.Finally,one example is given to show the effectiveness of the obtained analytical results.
【作者单位】:School of Mathematics and Statistics,Zaozhuang University
【基金】:supported by Shandong Province Natural Science Foundation of China(No.ZR2016AL05)
【分类号】:O231;TP183
【正文快照】:
1Introduction During the past few decades,various analysis of neural networks with time-delay(DCNN)has been studied and suc?cessfully used in many fields such as signal processing,secure communication,biological systems,etc.Time delay is often encounte

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