节点文献
动态数据自适应控制中的质量控制
Quality Control of the Adaptive Control for Kinematic Data
【摘要】 动态数据的质量控制是要求其动态数据处理过程中能够自动检测出系统模型中的偏差,并消除这些偏差对估计结果的影响。本文按照统计质量控制方法,以Kalm an滤波作为动态数据处理方法,讨论了含有偏差的动态数据处理模型,基于偏差探测的假设,构造了偏差探测的统计检验量及基本公式,并对偏差识别的过程及统计检验作了分析,最后得到了偏差估计和校正的理论公式。
【Abstract】 The systemic bias of the model can be detected automatically and the influence of the estimation results due to the bias be eliminate in the processing of the kinematic data,that is demand for the Quality control of the kinematic data.This paper according to the method of the statistical quality control,the Kalman filtering regard as the processing method of the kinematic data,the model of the processing of kinematic data with the bias has been discussed,the statistical test and the basic fomulae foe the bias detect have been constructed based on the hypothesis of the bias detect.The processing and the Statistical test for the bias identification have been analysed,finaaly,the theoretical formulae of the bias estimation and adaptation have been obtained.
【Key words】 Kinematic data; Kalman filtering; Quality control; Bias; Statistical test;
- 【文献出处】 江西科学 ,Jiangxi Science , 编辑部邮箱 ,2006年06期
- 【分类号】P207
- 【被引频次】1
- 【下载频次】72