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Revision of the Asymptotic Method and the Error Bound Validation

机译:渐近法的修正与误差界验证

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This paper proposes changes to the Asymptotic identification method (ASYM): the use of high order models of different PEM structures with an optimal order, aiming to improve the numerical stability and the quality of the obtained models. Some changes are also proposed for the Error Bound Validation method, with the estimation of the model quality index as a function of the frequency, to allow a better evaluation of the identified models and to provide an easier diagnostic of problems in the identification procedure for a better design of reidentification experiments. Finally, an industrial benchmark is identified to illustrate the use of the proposed alterations.
机译:本文提出了渐进识别方法(ASYM)的改进:使用具有最佳顺序的不同PEM结构的高阶模型,以提高数值稳定性和所获得模型的质量。还建议对误差限界验证方法进行一些更改,将模型质量指标的估计值作为频率的函数,以便更好地评估已识别的模型,并为故障诊断提供更简便的诊断程序。更好的重新识别实验设计。最后,确定了一个工业基准来说明所提议的变更的使用。

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