Dual time-frequency domain system identification

DOI10.1016/j.automatica.2012.08.033zbMath1255.93044OpenAlexW2012632024MaRDI QIDQ1932694

Juan I. Yuz, Wei Tang, Graham C. Goodwin, Juan C. Agüero, Ramón A. Delgado

Publication date: 21 January 2013

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2012.08.033

zbMATH Keywords

linear transformationtime-domain datamaximum likelihoodexpectation-maximization algorithmrobust system identificationmultivariate systemsdiscrete-time linear modelsdual time-frequency domain approach

Mathematics Subject Classification ID

System identification (93B30) Discrete-time control/observation systems (93C55) Frequency-response methods in control theory (93C80)

Related Items (3)

Convergence analysis of EFOP estimate based on frequency domain smoothing ⋮ EM-based identification of continuous-time ARMA models from irregularly sampled data ⋮ An EM-based identification algorithm for a class of hybrid systems with application to power electronics

Cites Work

• AN APPROACH TO TIME SERIES SMOOTHING AND FORECASTING USING THE EM ALGORITHM
• On covariance function tests used in system identification
• Alternative algorithms for the estimation of dynamic factor, mimic and varying coefficient regression models
• On the equivalence of time and frequency domain maximum likelihood estimation
• On the convergence properties of the EM algorithm
• Dynamic system identification. Experiment design and data analysis
• Ignorability and coarse data
• Consistency and relative efficiency of subspace methods
• Inference in hidden Markov models.
• From moments of sum to moments of product
• Robust maximum-likelihood estimation of multivariable dynamic systems
• Identification of ARX-models subject to missing data
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• An Intermediate Course in Probability
• A new method for evaluating the log-likelihood gradient, the Hessian, and the Fisher information matrix for linear dynamic systems
• Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations
• The Identification and Parameterization of Armax and State Space Forms
• Inference and missing data
• Frequency domain system identification with missing data
• Estimation with Missing Data
• Minimum variance bounds for overparameterized models
• Maximum Likelihood Estimation of State Space Models From Frequency Domain Data
• Comparing the CCA Subspace Method to Pseudo Maximum Likelihood Methods in the case of No Exogenous Inputs
• Maximum Likelihood Estimation of Misspecified Models
• Elements of multivariate time series analysis.
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