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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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