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eess.SY2024
Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums
Szabolcs Szentpéteri, Balázs Csanád Csáji
This letter studies a distribution-free, finite-sample data perturbation (DP) method, the Residual-Permuted Sums (RPS), which is an alternative of the Sign-Perturbed Sums (SPS) alg…
eess.SY2023★ 9 cited
Non-Asymptotic State-Space Identification of Closed-Loop Stochastic Linear Systems using Instrumental Variables
Szabolcs Szentpéteri, Balázs Csanád Csáji
The paper suggests a generalization of the Sign-Perturbed Sums (SPS) finite sample system identification method for the identification of closed-loop observable stochastic linear s…