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Nonlinear system identification of hystersis-backlash in hammerstein models

机译:Hammerstein模型中的磁滞回差的非线性系统辨识

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The aim of this work is to identify the two parts of hammerstein systems: linear and nonlinear, separately. The hysteresis-backlash is chosen to be the nonlinear part in these systems, as it includes memory nonlinearities. The identification of linear part is done using an appropriate system parametrization and a specific input signal. The nonlinear part is designed so that it provides persistent excitation and makes the internal signal measurable in the considered parametrization. Once the linear model is identified, the nonlinear element model identification will be easier. This is achieved using two appropriate parameterizations and specific input signals. The proposed identification method showed a satisfactory results.
机译:这项工作的目的是分别确定Hammerstein系统的两个部分:线性和非线性。磁滞回差被选择为这些系统中的非线性部分,因为它包括存储非线性。线性部分的识别是通过使用适当的系统参数化和特定的输入信号来完成的。非线性部分的设计使其能够提供持续的激励,并在考虑的参数化过程中可测量内部信号。一旦确定了线性模型,则非线性元素模型的识别将变得更加容易。这可以通过使用两个适当的参数设置和特定的输入信号来实现。所提出的识别方法显示出令人满意的结果。

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