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• W4387531317 abstract "Recently, a novel system identification method based on invariant subspace theory is introduced, aiming to address the identification problem of continuous-time (CT) linear time-invariant (LTI) systems by combining time-domain and frequency-domain methods. Subsequently, the combined Invariant-Subspace and Subspace Identification Method (cISSIM) is introduced, enabling direct estimation of CT LTI systems in state-space forms. It produces consistent estimation that is robust in an error-in-variable and slow-sampling conditions, while no pre-filtering operation of the input–output signals is needed. This paper presents the discrete-cISSIM, which extends cISSIM to discrete-time (DT) systems and offers the following improvements: (1) the capability to utilize arbitrary discrete periodic excitations while cISSIM uses multi-sine signals; (2) a faster estimation with reduced computational complexity is proposed; (3) the covariance estimation problem can be addressed concurrently with the system parameter estimation. An implementation of discrete-cISSIM by MATLAB has also been provided." @default.
• W4387531317 created "2023-10-12" @default.
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• W4387531317 date "2023-11-01" @default.
• W4387531317 modified "2023-10-12" @default.
• W4387531317 title "Combined invariant subspace & frequency-domain subspace method for identification of discrete-time MIMO linear systems" @default.
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• W4387531317 doi "https://doi.org/10.1016/j.sysconle.2023.105641" @default.
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