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• W2945374610 abstract "In this paper, we present a realization and an identification algorithm for stochastic Linear Parameter-Varying State-Space Affine (LPV-SSA) representations. The proposed realization algorithm combines the deterministic LPV input output to LPV state-space realization scheme based on correlation analysis with a stochastic covariance realization algorithm. Based on this realization algorithm, a computationally efficient and statistically consistent identification algorithm is proposed to estimate the LPV model matrices, which are computed from the empirical covariance matrices of outputs, inputs and scheduling signal observations. The effectiveness of the proposed algorithm is shown via a numerical case study." @default.
• W2945374610 created "2019-05-29" @default.
• W2945374610 creator A5029744897 @default.
• W2945374610 creator A5090098518 @default.
• W2945374610 date "2019-05-24" @default.
• W2945374610 modified "2023-09-27" @default.
• W2945374610 title "Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs" @default.
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• W2945374610 hasPublicationYear "2019" @default.
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