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首页> 外文期刊>Journal of automation and information sciences >Systems Identification and Model Order Reduction by Direct Variational Method
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Systems Identification and Model Order Reduction by Direct Variational Method

机译:直接变分法的系统辨识与模型阶降

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摘要

The processes of identification and a model order reduction on the basis of a direct variational method are investigated. In the case of deterministic data it was shown that the results of identification do not depend on the amplitude of the input signal, the minimal informative length of the observation interval was found. In the case of approximate data there were investigated stability properties of different models.
机译:研究了基于直接变分方法的识别和模型降阶过程。在确定性数据的情况下,表明识别结果不取决于输入信号的幅度,发现了观察间隔的最小信息长度。在近似数据的情况下,研究了不同模型的稳定性。

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