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Grey-box nonlinear state-space modelling for mechanical vibrations identification

机译:用于机械振动识别的灰箱非线性状态空间建模

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In the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the nonlinear model terms can be formed using a limited number of output measurements. A twostep identification procedure is derived for this grey-box model, integrating nonlinear subspace initialisation and maximum likelihood optimisation. The complete procedure is demonstrated on the Silverbox benchmark, which is an electrical mimicry of a single-degree-of-freedom mechanical system with one displacement-dependent nonlinearity.
机译:在本文中,以状态空间方程的形式介绍了非线性机械系统振动的灵活简化模型。结果表明,可以使用有限数量的输出测量结果来形成非线性模型项。为此灰盒模型导出了两步识别过程,将非线性子空间初始化和最大似然优化相结合。完整的过程在Silverbox基准上得到了证明,该基准是模仿具有一个与位移有关的非线性的单自由度机械系统的电气模型。

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