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Fractional Order Systems Identification Based on Subspace Method in Time-domain

机译:时域基于子空间方法的分数阶系统识别

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This paper focuses on the identi.cation of fractional commensurate order systems, which described in state space equation form. A novel identi.cation approach based on short memory principle of fractional differentiation and subspace method, which is from multivariable output error state space (MOESP) family, is proposed. By utilizing the Poisson moment functionals (PMF), the problem which the derivative of higher order of input and output signals should exist is avoided. Based on short memory principle of fractional differentiation, the basic input and output equation for identi.cation is reconstructed. The explicit functional relationship between coe.cient matrixes and fractional differential order is deduced. The numerical simulation validates the approach.
机译:本文重点讨论以状态空间方程形式描述的分数阶相对阶系统。提出了一种基于分数微分的短存储原理和子空间方法的多变量输出误差状态空间(MOESP)族识别方法。通过利用泊松矩函数(PMF),避免了应该存在输入和输出信号的高阶导数的问题。根据分数微分的短记忆原理,重构了识别的基本输入输出方程。推导了系数矩阵与分数阶微分方程之间的显式函数关系。数值模拟验证了该方法。

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