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- W2783187207 abstract "This paper proposes a subspace method for closed loop identification, which is aimed to provide low order system models in the presence of colored noises without the knowledge of feedback controllers. The method utilizes the long I/O data of the target system in order to be noise tolerant. First, it compresses the long data by projecting them to an appropriate subspace, then obtains a low order model based on the compressed data by exploiting the nuclear norm minimization. Its effectiveness is demonstrated through numerical simulations." @default.
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- W2783187207 date "2017-12-01" @default.
- W2783187207 modified "2023-10-14" @default.
- W2783187207 title "Closed-loop subspace identification with long data based on nuclear norm minimization" @default.
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- W2783187207 doi "https://doi.org/10.1109/cdc.2017.8264156" @default.
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