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Swindlehust A. Roy R. Ottersten B. Kailath T. 《Automatic Control, IEEE Transactions on》1995,40(2):311-316
A new method is presented for the identification of systems parameterized by linear state-space models. The method relies on the concept of subspace fitting, wherein an input/output data model parameterized by the state matrices is found that best fits, in the least-squares sense, the dominant subspace of the measured data. Some empirical results are included to illustrate the performance advantage of the algorithm compared to standard techniques 相似文献
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