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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:具有间接数据的具有不精确数据的一阶常微分周期方程线性系统解的有保证估计

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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常微分方程的一阶线性系统。假设方程的右手边未知,并且受到一些二次约束,在一定意义上,我们从对点和点的有限系统上这些解的观察中获得对上述问题的解定义的线性泛函的最佳估计。间隔。可以确定的是,如果观测误差的相关函数未知并且属于特殊集合,则可以通过某些具有周期系数的常微分方程组的解来表示所考虑问题的解的线性泛函的线性保证均方估计。

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