Application of regularized Savitzky-Golay filters to identification of time-varying systems

DOI10.1016/j.automatica.2021.109865zbMath1480.93427OpenAlexW3195018015MaRDI QIDQ2065216

Maciej Niedźwiecki, Piotr Kaczmarek, Marcin Ciołek, Artur Gańcza

Publication date: 7 January 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2021.109865

zbMATH Keywords

basis functionsempirical Bayes optimizationidentification of time-varying systemsSavitzky-Golay filters

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Identification in stochastic control theory (93E12) Impulsive control/observation systems (93C27)

Cites Work

• Kernel methods in system identification, machine learning and function estimation: a survey
• On covariance function tests used in system identification
• Smoothness priors transfer function estimation
• Statistical decision theory and Bayesian analysis. 2nd ed
• Smoothness priors analysis of time series
• A new look at the statistical identification of nonstationary systems
• On the estimation of transfer functions, regularizations and Gaussian processes-revisited
• A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series
• A Technique for the Numerical Solution of Certain Integral Equations of the First Kind
• Identification of time-varying systems using multiresolution wavelet models
• A shift in paradigm for system identification
• Probability Integrals of Multivariate Normal and Multivariate $t^1$
• Applied Bayesian Modelling
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