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ON ONE VARIATIONAL PROBLEM OF THE MATHEMATICAL MODELLING AND PARAMETRICAL IDENTIFICATION

机译:数学建模和参数辨识的一个变分问题

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摘要

A variational approach to the modelling and identification of the dynamic objects is considered in the paper. The approach is based on the best approximation of the analyzed signal by the model output signal. As model, regularizing corresponding inverse problems there was used ordinary differential equations of the given order. The main point of the variational approach consist in projecting a vector of original data in the corresponding Hilbert space into the kernel of the proper dynamic operator (differential or difference one). The method proposed here allows to use equations of the counter processes in the stationary systems for solving the problem under study ― fast algorithms and special iterative procedures for optimizing modelling equation coefficients.
机译:本文考虑了一种用于动态对象建模和识别的变体方法。该方法基于模型输出信号对分析信号的最佳近似。作为模型,对相应的反问题进行正则化,使用了给定阶数的常微分方程。变分方法的要点在于将相应Hilbert空间中的原始数据向量投影到适当的动态算子(微分或差一)的核中。本文提出的方法允许使用固定系统中的反过程方程来解决正在研究的问题-快速算法和特殊的迭代过程,用于优化模型方程系数。

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