Frequency domain versus time domain methods in system identification

DOI10.1016/0005-1098(81)90085-6zbMath0451.93025OpenAlexW2046103889MaRDI QIDQ1148269

Keith Glover, Lennart Ljung

Publication date: 1981

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(81)90085-6

zbMATH Keywords

frequency domaintime domain

Mathematics Subject Classification ID

System identification (93B30) Linear systems in control theory (93C05)

Related Items

Identification of linear dynamic systems using piecewise constant exitations: Use, misuse and alternatives, When are two multivariate random processes indistinguishable, A time-domain approach to z-domain model identification, Model identification and reduction in the frequency domain, Impulse response matching for z-Domain identification with application to model order reduction, On the identification of bilinear systems from operating records†, Nonlinear system identification and fault diagnosis using a new GUI interpretation tool, Continuous-time approaches to system identification - a survey, Sparse System Identification in Pairs of Pulse and Takenaka--Malmquist Bases, Parametric identification of transient electromagnetic systems, The singularity expansion method as applied to the elastodynamic scattering problem, On the estimation of transfer functions, A new GUI interpretation tool for the nonlinear frequency response function

Cites Work

• Dynamic system identification. Experiment design and data analysis
• Consistent autoregressive spectral estimates
• Identification of processes in closed loop-identifiability and accuracy aspects
• On the use of a linear model for the identification of feedback systems
• Fitting autoregressive models for prediction
• System identification. A survey
• Introduction to stochastic control theory
• Comparison of different methods for identification of industrial processes
• Some novel windows and a concise tutorial comparison of window families
• Short-time spectral analysis with the conventional and sliding CZT
• Recursive system identification using fast algorithms
• Computational aspects of maximum likelihood estimation and reduction in sensitivity function calculations
• Maximum likelihood identification of Gaussian autoregressive moving average models
• Frequency-Domain Synthesis of Optimal Inputs for Linear System Parameter Estimation
• Stable and efficient lattice methods for linear prediction
• Convergence analysis of parametric identification methods
• Time series recursions and stochastic approximation
• An Algorithm for the Machine Calculation of Complex Fourier Series
• Prior Probabilities
• Notes on maximum-entropy processing (Corresp.)
• Minimum-bias windows for high-resolution spectral estimates
• The asymptotic theory of linear time-series models
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item