T=题名(书名、题名),A=作者(责任者),K=主题词,P=出版物名称,PU=出版社名称,O=机构(作者单位、学位授予单位、专利申请人),L=中图分类号,C=学科分类号,U=全部字段,Y=年(出版发行年、学位年度、标准发布年)
AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
范例一:(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二:P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016
摘要:Increasing the robustness to the unknown uncertainty and simultaneously enhancing the sensibility to the faults is one of the important issues considered in the fault detection development. Considering the L2-gain of residual system, this paper deals the observer-based fault detection problem. By using of H∞ control theory,an LMI approach to design fault detection observer is given. A numerical example is used to illustrate the effectiveness of the proposed approach.
摘要:This paper presents a detection method for hourglass worm based on follow-up pre-positioning technolo-gy, by establishing theoretical model of the corresponding relation between the movements of the worm and theprobe. The probe coordinate of next sample point is mapped through the actual motion coordinate measured ateach sample point. And then the probe is located to the next sample point in advance by using the precision mo-tion control based on time subdivision. This detection method can realize online servo measurement for machiningerror of hourglass worm and actual space spiral measurement under specific throat radius. The actual surface con-tour of hourglass worm is constructed by helixes in different throat radiuses, then the machining error can be ob-tained by comparing the contour with theoretical model. The detection system, which includes host and slave sub-systems, is designed according to this method.
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