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Some Aspects of Identification of Dynamic Objects under Incorrect Observation Conditions
Automation and Remote Control ( IF 0.6 ) Pub Date : 2020-06-15 , DOI: 10.1134/s0005117920060090
Yu. G. Bulychev

We solve the problems of numerical-analytical representation of the solution of an equation describing the dynamic object and its measurable output, as well as optimal computation of the values of continuous linear functionals (numerical characteristics) of measurable functions based on incorrect data containing not only fluctuation error but also singular interference. The method provides the maximum possible decomposition of computational procedures, does not require to carry out traditional linearization operations and the choice of initial approximations, and also is not related to the computation of spectral coefficients in finite linear combinations (with given basic functions) that describe integral curves, measurable functions, and singular interference.



中文翻译:

不正确观察条件下动态物体识别的某些方面

我们解决了描述动态对象及其可测量输出的方程的解的数值解析表示问题,以及基于不仅仅包含不正确数据的可测量函数的连续线性函数(数值特征)值的最优计算问题波动误差,但也有奇异的干扰。该方法可以最大程度地分解计算过程,不需要执行传统的线性化运算和初始近似值的选择,也与描述有限线性组合(具有给定基本函数)的光谱系数的计算无关。积分曲线,可测函数和奇异干扰。

更新日期:2020-06-15
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