Identification of affinely parameterized state-space models with unknown inputs

DOI10.1016/j.automatica.2020.109271zbMath1451.93067OpenAlexW3088791881MaRDI QIDQ2208595

Jie Chen, Chengpu Yu, Shukai Li, Verhaegen, Michel

Publication date: 3 November 2020

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2020.109271

zbMATH Keywords

subspace identificationaffinely parameterized state-space modelunknown system input

Mathematics Subject Classification ID

Convex programming (90C25) System identification (93B30) Control/observation systems with incomplete information (93C41)

Related Items (4)

The noise covariances of linear Gaussian systems with unknown inputs are not uniquely identifiable using autocovariance least-squares ⋮ Generalized maximum entropy based identification of graphical ARMA models ⋮ System identification approach for inverse optimal control of finite-horizon linear quadratic regulators ⋮ Inverse linear quadratic dynamic games using partial state observations

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