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Parametric frequency domain identification of a time-varying system as a time-dependent weighted sum of time-invariant systems

机译:参数频域识别时变系统作为时间依赖于时间不变系统的加权

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摘要

A frequency domain, parametric identification procedure for single-input, single output time-varying systems is presented. The output of the model is built as a time-varying weighted sum of the responses of linear time-invariant systems. A judicious choice of the weighting functions is shown to provide an intuitive insight into the evolution of the instantaneous transfer function with time. Results of previous work are used to obtain non-parametric initial estimates of both the time-varying dynamics and the disturbing noise characteristics from the response of the system to a multisine excitation. The maximum likelihood estimator is set up and a minimization algorithm is developed. The estimator is applied to a simulation example and a measurement example (electronic circuit) which approximates the model assumptions.
机译:呈现频域,用于单输入的参数识别过程,单个输出时间变化系统。模型的输出被构建为线性时间不变系统响应的时变量的加权和。示出了加权功能的明智选择,以便在随着时间的推移方面提供直观的瞬间传递函数的演变。以前的工作的结果用于从系统到多语激励的响应获得时变动力学和扰动噪声特性的非参数初始估计。建立最大似然估计器并开发最小化算法。估计器应用于仿真示例和测量示例(电子电路),其近似于模型假设。

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