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Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.

, , , и . IEEE Trans. Autom. Control., 68 (12): 7224-7239 (декабря 2023)

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Patric Ljung

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nonlinear black-box modeling in system identification: a unified overview, , , , , , , и . Automatica, (1995)Identification: Basic Problem.. Concise Encyclopedia of Modelling & Simulation, том 5 из Advances in systems control and information engineering, Pergamon Press / Elsevier, (1992)Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator., , , и . IEEE Trans. Autom. Control., 68 (12): 7224-7239 (декабря 2023)On the choice of norms in system identification., , и . IEEE Trans. Autom. Control., 41 (9): 1367-1372 (1996)On global identifiability for arbitrary model parametrizations., и . Autom., 30 (2): 265-276 (1994)Implementation of algorithms for tuning parameters in regularized least squares problems in system identification., и . Autom., 49 (7): 2213-2220 (2013)Recursive identification techniques.. ICASSP, стр. 627-630. IEEE, (1982)Frequency-domain identification of continuous-time ARMA models from sampled data., и . Autom., 45 (6): 1371-1378 (2009)Decomposition methods for solving least-squares parameter estimation., , и . IEEE Trans. Signal Process., 44 (11): 2847-2852 (1996)Variance properties of a two-step ARX estimation procedure., и . ECC, стр. 1840-1845. IEEE, (2001)