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Identification of Continuous Systems Based on Markov parameters of Transformed System

机译:基于变换系统的马尔可夫参数的连续系统辨识

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This paper proposes an identification algorithm for continuous-time systems by using the Markov parameters. At first the Markov parameters of a transformed system is calculated from the sampled input-output data of the system with any input signal. Then the minimum realization of the continuous-time system is identified by the ε-minimal realization method based on the Markov parameters. Finally some illustrative examples will show that the proposed identification algorithm provides accurate identification results.
机译:提出了一种基于马尔可夫参数的连续时间系统辨识算法。首先,从具有任何输入信号的系统的采样输入输出数据中计算出变换后系统的马尔可夫参数。然后通过基于马尔可夫参数的ε-最小实现方法确定连续时间系统的最小实现。最后,一些说明性示例将表明,所提出的识别算法可提供准确的识别结果。

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