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This article aims at estimating the multi-variable commensurate fractional order systems based on the subspace identification method. By means of the properties of modulating function and integration by parts, the fractional order derivatives of input and output signals are converted into differentiation of modulating function. A new method via the nuclear norm and the Frobenius norm is proposed to...
This paper investigates the problem of parameter estimation for fractional-order linear systems when output signal is polluted by noise and outliers. Different from conventional filtering and semi-definite programming methods, the outliers detection problem is formulated as a matrix decomposition problem based on a novel nuclear norm method, which can not only make exact detection of outliers, but...
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