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A novel subspace identification method is presented which uses a shift-invariant property of the output data to estimate system dynamics. It is shown that the algorithm may be used with correlation function estimates in addition to input-output data. The algorithm is compared to other subspace methods in a simulation study based on an existing benchmark problem. The results show that the proposed...
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