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A generalized multiplicative regularization for input estimation

机译:输入估计的广义乘法正则化

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摘要

This paper implements a generalized multiplicative regularization for estimating the mechanical loads acting on a linear structure. The proposed strategy extends the ordinary multiplicative regularization, previously published by the authors, by introducing an extra tuning parameter, which is determined through an original iterative procedure. To assess the practical interest and the overall performances of the proposed approach, numerical and real-world applications are proposed. Obtained results illustrate the influence of the extra tuning parameter according to the measurement noise level and highlight the benefits brought by the generalized multiplicative regularization in terms of solution accuracy.
机译:本文实现了用于估计作用在线性结构上的机械载荷的广义乘法正则化。 拟议的策略通过引入额外的调谐参数来扩展前面由作者发布的普通乘法正则化,这是通过原始迭代程序确定的。 为了评估拟议方法的实际兴趣和整体表演,提出了数值和现实世界申请。 获得的结果说明了根据测量噪声水平的额外调谐参数的影响,并突出了在解决方案准确性方面所带来的广义乘法正则化所带来的益处。

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