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Improved Local Rational Method by incorporating system knowledge: with application to mechanical and thermal dynamical systems

机译:通过纳入系统知识来改进局部合理方法:应用于机械和热动力系统

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A key step in experimental modeling of mechatronic systems is Frequency Response Function (FRF) identification. Applying these techniques to systems where measurement time is limited leads to a situation where the accuracy is deteriorated by transient dynamics. The aim of this paper is to develop a local parametric modeling technique that improves the identification accuracy of a range of systems by exploiting prior knowledge. The method is to impose a prior on the approximate locations of the system poles. This leads to better fit results and enables an accurate variance characterization. As a special case, traditional LPM is recovered.
机译:机电系统的实验建模的一个关键步骤是频率响应函数(FRF)识别。将这些技术应用于测量时间受到限制的系统导致瞬态动态劣化的情况。本文的目的是开发一种局部参数建模技术,通过利用先验知识来提高一系列系统的识别准确性。该方法是在系统极的近似位置施加先前。这导致更好的效果并实现准确的方差表征。作为一个特殊情况,传统的LPM被恢复。

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