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On-line identification algorithm and convergence analysis for sandwich systems with backlash

机译:带有间隙的三明治系统的在线识别算法和收敛性分析

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摘要

In this paper, an on-line algorithm for identification of sandwich systems with backlash is proposed. In this method, the sandwich systems with backlash can be transformed into a special model where all the model parameters are separated based on the so-called key term separation principle. In this case, a piecewise model with linear coefficients combining with nonlinear variables is obtained. Thus, an extended recursive identification algorithm is used to estimate the parameters of the proposed model. Finally, the modeling results on an X-Y positioning stage are presented.
机译:本文提出了一种在线辨识带间隙夹心系统的算法。在这种方法中,可以将带有间隙的三明治系统转换成特殊的模型,在该模型中,根据所谓的关键术语分离原理分离所有模型参数。在这种情况下,将获得具有线性系数和非线性变量的分段模型。因此,使用扩展的递归识别算法来估计所提出模型的参数。最后,给出了在X-Y定位平台上的建模结果。

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