LPV system identification under noise corrupted scheduling and output signal observations

DOI10.1016/j.automatica.2015.01.018zbMath1371.93209OpenAlexW2003002102MaRDI QIDQ2409451

Roland Tóth, Dario Piga, Vincent Laurain, Pepijn Bastiaan Cox

Publication date: 11 October 2017

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://research.tue.nl/nl/publications/lpv-system-identification-under-noise-corrupted-scheduling-and-output-signal-observations(2139b8cf-42c5-46ea-a387-75f9fbafc7a2).html

zbMATH Keywords

system identificationparameter estimationinstrumental variableslinear parameter-varying systems

Mathematics Subject Classification ID

Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12)

Related Items (8)

Direct identification of continuous-time LPV state-space models via an integral architecture ⋮ An iterative state-space identification method with data correlation for MIMO systems with measurement noise ⋮ From structurally independent local LTI models to LPV model ⋮ The maximum correntropy criterion-based robust hierarchical estimation algorithm for linear parameter-varying systems with non-Gaussian noise ⋮ Identification of hybrid and linear parameter‐varying models via piecewise affine regression using mixed integer programming ⋮ Direct learning of LPV controllers from data ⋮ A bias-correction method for closed-loop identification of linear parameter-varying systems ⋮ Dynamic output feedback robust MPC with input saturation based on zonotopic set-membership estimation

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