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• W1552111370 abstract "This paper deals with the identification problem of switched autoregressive exogenous (SARX) systems with unknown model orders, which is a problem of estimating simultaneously multiple linear subspaces and their corresponding non-overlapping regions. This problem is important and has lots of applications because it can describe approximations of a wide variety of nonlinear systems. In this paper, the SARX identification problem is formulated as a kind of matrix rank minimization problem, and a practical algorithm is proposed based on the iterative partial matrix shrinkage (IPMS) algorithm. Numerical examples show that the proposed algorithm identifies SARX systems effectively." @default.
• W1552111370 created "2016-06-24" @default.
• W1552111370 creator A5049903784 @default.
• W1552111370 date "2015-05-01" @default.
• W1552111370 modified "2023-09-24" @default.
• W1552111370 title "Multiple low rank matrix approach to switched autoregressive exogenous system identification" @default.
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• W1552111370 doi "https://doi.org/10.1109/ascc.2015.7244610" @default.
• W1552111370 hasPublicationYear "2015" @default.
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