An iterative least squares estimation algorithm for controlled moving average systems based on matrix decomposition

DOI10.1016/j.aml.2012.06.027zbMath1252.65105OpenAlexW2017541118MaRDI QIDQ714591

Feng Ding, Huiyi Hu

Publication date: 11 October 2012

Published in: Applied Mathematics Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.aml.2012.06.027

zbMATH Keywords

algorithmnumerical examplesystem identificationparameter estimationiterative methodleast squarescontrolled moving average modelinput-output-approach

Mathematics Subject Classification ID

Numerical optimization and variational techniques (65K10) System identification (93B30) Input-output approaches in control theory (93D25)

Related Items (9)

Least squares based iterative identification for multivariable integrating and unstable processes in closed loop ⋮ Optimal fault detection design via iterative estimation methods for industrial control systems ⋮ Filtering based recursive least squares algorithm for Hammerstein FIR-MA systems ⋮ Parameter identification of systems with preload nonlinearities based on the finite impulse response model and negative gradient search ⋮ Auxiliary model based recursive and iterative least squares algorithm for autoregressive output error autoregressive systems ⋮ Least squares based iterative identification algorithms for input nonlinear controlled autoregressive systems based on the auxiliary model ⋮ A least squares identification algorithm for a state space model with multi-state delays ⋮ Signal modeling using the gradient search ⋮ Recursive least squares estimation algorithm applied to a class of linear-in-parameters output error moving average systems

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