Identification of non-linear parametrically varying models using separable least squares

DOI10.1080/0020717041233318863zbMath1068.93018OpenAlexW2105629209MaRDI QIDQ4652101

Lovera, Marco, Fabio Previdi

Publication date: 24 February 2005

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

Full work available at URL: https://doi.org/10.1080/0020717041233318863

zbMATH Keywords

identification algorithm

Mathematics Subject Classification ID

System identification (93B30)

Related Items (7)

Identification and control of electro-mechanical systems using state-dependent parameter estimation ⋮ A convex relaxation approach to set-membership identification of LPV systems ⋮ Subspace identification of MIMO LPV systems using a periodic scheduling sequence ⋮ Comments on `Identification of non-linear parametrically varying models using separable least squares’ by F. Previdi and M. Lovera: black-box or open box? ⋮ Recursive maximum likelihood method for the identification of Hammerstein ARMAX system ⋮ Subspace identification of linear parameter-varying systems with innovation-type noise models driven by general inputs and a measurable white noise time-varying parameter vector ⋮ Subspace identification of bilinear and LPV systems for open- and closed-loop data

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