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Guaranteed Estimation of Solutions of First Order Linear Systems of Ordinary Differential Periodic Equations with Inexact Data from Their Indirect Noisy Observations

机译:保证常识周期方程的第一阶线性系统解决方案估算与间接噪声观测不精确的数据

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摘要

We consider first-order linear systems of ordinary differential equations with periodic coefficients. Supposing that right-hand sides of equations are not known and subjected to some quadratic restrictions, we obtain optimal, in certain sense, estimates of linear functionals defined on solutions to above-mentioned problems from observations of these solutions on a finite system of points and intervals. It is established that if correlation functions of observation errors are not known and belong to special sets, then linear guaranteed mean square estimates of linear functionals from solutions of considered problems are expressed via solutions of some systems of ordinary differential equations with periodic coefficients.
机译:我们考虑具有周期系数的普通微分方程的一阶线性系统。假设方程的右手侧不知道并经受一些二次限制,我们在某种意义上获得最佳,在某种意义上,从这些解决方案的观察到有限的点和地点的解决方案上定义的线性功能估计间隔。建立如果观察误差的相关函数未知并属于特殊集合,则通过具有周期性系数的常微分方程的一些系统的解决方案来表达来自考虑问题的解的线性功能的线性功能的线性功能的平方估计。

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