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Resonator-Based Nonparametric Identification of Linear Systems

机译:基于谐振器的线性系统非参数辨识

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摘要

A nonparametric identification method for linear systems is proposed. The identification is done via synchronized multisine measurements where the synchronization is ensured by a resonator-based generator-observer pair. The advantage of the proposed structure is that it works as a filter bank and, hence, provides the measurement results online. Exponential averaging is an option of the method and it requires no extra calculations. A further advantage is that the identification can be done over any frequency set without any loss of performance. Explicit formulas are given for noise suppression and settling time. The method is illustrated by practical examples.
机译:提出了一种线性系统的非参数辨识方法。识别是通过同步多正弦测量完成的,其中通过基于谐振器的发生器-观测器对确保同步。所提出的结构的优点是它可以用作滤波器组,因此可以在线提供测量结果。指数平均是该方法的一种选择,它不需要额外的计算。另一个优点是可以在任何频率集上完成识别,而不会损失任何性能。给出了抑制噪声和建立时间的明确公式。通过实例举例说明该方法。

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