Identification of unstable systems using output error and Box-Jenkins model structures

DOI10.1109/9.827371zbMath0971.93075OpenAlexW2567067153WikidataQ59591990 ScholiaQ59591990MaRDI QIDQ4507000

Urban Forssell, Lennart Ljung

Publication date: 17 October 2000

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-55405

zbMATH Keywords

closed-loop identificationunstable systemprediction error identification

Mathematics Subject Classification ID

System identification (93B30) Identification in stochastic control theory (93E12)

Related Items (13)

Closed-loop identification of stable and unstable processes with time-delay ⋮ ARX modeling of unstable linear systems ⋮ Stability of the Kalman filter for continuous time output error systems ⋮ Iterative feedback tuning—an overview ⋮ Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box-Jenkins systems ⋮ On stability of the Kalman filter for discrete time output error systems ⋮ Refined instrumental variable methods for unstable continuous-time systems in closed-loop ⋮ New identification approaches for disturbed models ⋮ Closed-loop identification of unstable systems using noncausal FIR models ⋮ Identification of symmetric noncausal processes ⋮ A novel recursive learning identification scheme for Box-Jenkins model based on error data ⋮ Nonlinear gray-box identification using local models applied to industrial robots ⋮ Design and Comparison Base Analysis of Adaptive Estimator for Completely Unknown Linear Systems in the Presence of OE Noise and Constant Input Time Delay

This page was built for publication: Identification of unstable systems using output error and Box-Jenkins model structures