具有无限维参数的微分方程系统的局部参数可识别性条件

S. Yu. Pilyugin, V. S. Shalgin
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引用次数: 0

摘要

摘要 参数辨识问题(通过观察解或其函数来确定系统参数)是微分方程应用理论中的主要问题之一。在解决这一问题时,局部可识别性特性起着至关重要的作用。这一特性的存在意味着,通过观察解,可以毫不含糊地确定所选参数邻域内的系统参数值。以前,在这一问题上,研究人员主要研究有限维参数的情况。无限维参数情况下的局部参数可识别性问题受到的关注要少得多。在本文中,我们提出了一种新方法,用于获得无穷维参数情况下局部参数可识别性的充分条件。当这些条件得到满足时,通过观察有限点集合的解,就能局部识别属于某些类别的无穷维参数。对于参数具有线性依赖性的系统,指定条件的通用性得以确立。
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Conditions for Local Parameter Identifiability for Systems of Differential Equations with an Infinite-Dimensional Parameter

Abstract

The problem of parametric identification (determining the parameters of a system by observing solutions or functions of them) is one of the main problems in the applied theory of differential equations. When solving this problem, the property of local identifiability plays a crucial role. The presence of this property means that by observing solutions, it is possible to determine unambiguously the value of the system parameters in a neighborhood of the selected parameter. Previously, in the context of this problem, researchers mainly studied the case of a finite-dimensional parameter. The problem of local parametric identifiability in the case of an infinite-dimensional parameter has received much less attention. In this paper, we propose a new method for obtaining sufficient conditions for local parametric identifiability in the case of an infinite-dimensional parameter. When these conditions are met, an infinite-dimensional parameter belonging to certain classes is locally identified by observing the solution at a finite set of points. For systems with a linear dependence on the parameter, the genericity of the specified conditions is established.

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来源期刊
CiteScore
0.70
自引率
50.00%
发文量
44
期刊介绍: Vestnik St. Petersburg University, Mathematics  is a journal that publishes original contributions in all areas of fundamental and applied mathematics. It is the prime outlet for the findings of scientists from the Faculty of Mathematics and Mechanics of St. Petersburg State University. Articles of the journal cover the major areas of fundamental and applied mathematics. The following are the main subject headings: Mathematical Analysis; Higher Algebra and Numbers Theory; Higher Geometry; Differential Equations; Mathematical Physics; Computational Mathematics and Numerical Analysis; Statistical Simulation; Theoretical Cybernetics; Game Theory; Operations Research; Theory of Probability and Mathematical Statistics, and Mathematical Problems of Mechanics and Astronomy.
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