High-Accuracy Instrumental Variable Identification of Continuous-Time Autoregressive Processes From Irregularly Sampled Noisy Data

DOI10.1109/TSP.2008.925578zbMath1390.94312MaRDI QIDQ4569081

Magnus Mossberg

Publication date: 27 June 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

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A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data ⋮ Identification of linear continuous-time systems under irregular and random output sampling ⋮ Instrumental variables and LSM in continuous-time parameter estimation ⋮ Spectral density based estimation of continuous‐time ARMAX process parameters

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