Frequency-domain identification of continuous-time ARMA models from sampled data
DOI10.1016/j.automatica.2009.01.016zbMath1166.93027OpenAlexW2089575320WikidataQ59591869 ScholiaQ59591869MaRDI QIDQ2391320
Publication date: 24 July 2009
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2009.01.016
system identificationcontinuous time systemsfrequency domainstime-series analysisARMA parameter estimation
Estimation and detection in stochastic control theory (93E10) Time-scale analysis and singular perturbations in control/observation systems (93C70) Sampled-data control/observation systems (93C57) Identification in stochastic control theory (93E12)
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Cites Work
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- Continuous-time approaches to system identification - a survey
- A practical guide to splines
- Identification of continuous-time systems using arbitrary signals
- Box-Jenkins continuous-time modeling
- A Note on Whittle's Likelihood
- Limit results for sampled systems
- B-spline signal processing. I. Theory
- B-spline signal processing. II. Efficiency design and applications
- Unique estimates of the parameters of a continuous stationary stochastic process
- Sampling zeros and the Euler-Frobenius polynomials
- A NOTE ON EMBEDDING A DISCRETE PARAMETER ARMA MODEL IN A CONTINUOUS PARAMETER ARMA MODEL
- Quasi‐Maximum Likelihood Estimation for a Class of Continuous‐time Long‐memory Processes
- On the Estimation of the Spectral Parameters of a Gaussian Stationary Process with Rational Spectral Density
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