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On Identification of Linear Stationary Systems

机译:关于线性平稳系统的辨识

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We consider the algorithm for identification of linear stationary systems by results of measurement of transient process. This algorithm can be treated as nonlinear analog of the Prony method. Similar to the Prony method the suggested algorithm makes it possible to realize decomposition of the initial problem of identification, however, it eliminates from consideration the intermediate linear model with discrete time, which is used in the Prony method. Generalization of the algorithm is adduced in the case when some roots of the characteristic polynomial of the identified system are known. By the before published examples we conduct comparison of accuracy of estimates obtained by the suggested method and other known methods for solving this problem.
机译:我们考虑通过暂态过程的测量结果识别线性平稳系统的算法。该算法可以视为Prony方法的非线性模拟。与Prony方法类似,所建议的算法可以实现分解初始识别问题,但是,它消除了Prony方法中使用的具有离散时间的中间线性模型的考虑。在已知所识别系统的特征多项式的某些根的情况下,对该算法进行了概括。通过以前发布的示例,我们对通过建议的方法和其他已知方法解决此问题所获得的估计值的准确性进行了比较。

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