结合极大值原理与正则化方法的辨识算法比较

2017 International Conference on Mechanical, System and Control Engineering (ICMSC) Pub Date : 2017-05-01 DOI:10.1109/ICMSC.2017.7959474

A. Kostoglotov, Oksana Andreevna Kostoglotova, Igor Deryabkin, Igor Evgenevich Kirillov, S. Lazarenko

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引用次数: 0

摘要

利用所研究系统的物理特性，以Hamilton - Ostrogradskii变分原理的形式研究了参数辨识的变分方法。在此基础上，提出了抗测量噪声、估计值与实际值收敛率高的识别算法。通过将所开发算法的数学模拟结果与卡尔曼滤波进行比较，证实了这一点。

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Comparison of identification algorithms based on the combining maximum principle and the regularization

The variational methods of parametric identification which use the physical features of the studied systems in the form of the Hamilton — Ostrogradskii variational principle are studied. On this basis the identification algorithms resistant to measurement noise and having high convergence rate of their estimates to the actual values are produced. This is confirmed by comparing the results of mathematical simulation of the developed algorithms with the Kalman filter.

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2017 International Conference on Mechanical, System and Control Engineering (ICMSC)

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