Linear parameter-varying spectral decomposition

Fredrik Bagge Carlson, A. Robertsson, Rolf Johansson
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引用次数: 3

Abstract

We develop a linear parameter-varying (LPV) spectral decomposition method, based on least-squares estimation and kernel expansions. Statistical properties of the estimator are analyzed and verified in simulations. The method is linear in the parameters, applicable to both the analysis and modeling problems and is demonstrated on both simulated signals as well as measurements of the torque in an electrical motor.
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线性变参数光谱分解
提出了一种基于最小二乘估计和核展开的线性变参数谱分解方法。通过仿真对该估计器的统计特性进行了分析和验证。该方法在参数上是线性的,既适用于分析问题,也适用于建模问题,并在仿真信号和电机转矩的测量上得到了验证。
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