System identification using slow and irregular output samples

DOI10.1016/j.jprocont.2008.02.002zbMath1198.93223OpenAlexW2137492596MaRDI QIDQ3055611

Herman Telkamp, Jinghua Wang, Qingling Fu, Yucai Zhu

Publication date: 8 November 2010

Published in: Journal of Process Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jprocont.2008.02.002

zbMATH Keywords

identificationminimum varianceinferential modeloutput error methodbias distribution

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10)

Related Items (10)

Least squares estimation for a class of non-uniformly sampled systems based on the hierarchical identification principle ⋮ Identification of non-uniformly sampled-data systems with asynchronous input and output data ⋮ Identification of linear continuous-time systems under irregular and random output sampling ⋮ Two recursive least squares parameter estimation algorithms for multirate multiple-input systems by using the auxiliary model ⋮ Recursive least squares parameter estimation for non-uniformly sampled systems based on the data filtering ⋮ Identification of LTI time-delay systems with missing output data using GEM algorithm ⋮ Bias compensation‐based parameter estimation for output error moving average systems ⋮ EM algorithm-based identification of a class of nonlinear Wiener systems with missing output data ⋮ Design and Comparison Base Analysis of Adaptive Estimator for Completely Unknown Linear Systems in the Presence of OE Noise and Constant Input Time Delay ⋮ Gradient-based iterative identification for nonuniform sampling output error systems

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