A linear regression approach to state-space subspace system identification

DOI10.1016/0165-1684(96)00048-5zbMath0875.94072OpenAlexW1988246338WikidataQ62586040 ScholiaQ62586040MaRDI QIDQ671456

Magnus Jansson, B. Wahlberg

Publication date: 27 February 1997

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-1684(96)00048-5

zbMATH Keywords

System identificationSubspace methodsState-space modeling

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (12)

Recursive 4SID algorithms using gradient type subspace tracking ⋮ Dimensionality reduction and volume minimization -- generalization of the determinant minimization criterion for reduced rank regression problems ⋮ Closed-loop subspace-based identification algorithm using third-order cumulants ⋮ Variational Bayesian identification for bilinear state space models with Markov‐switching time delays ⋮ Analysis of the asymptotic properties of the MOESP type of subspace algorithms ⋮ Subspace identification – a Markov parameter approach ⋮ Closed-loop subspace identification using the parity space ⋮ Subspace identification using instrumental variable techniques ⋮ Analysis of state space system identification methods based on instrumental variables and subspace fitting ⋮ Subspace-based identification: Weighting and pre-filtering of instruments ⋮ A novel subspace identification approach with enforced causal models ⋮ Consistency analysis of subspace identification methods based on a linear regression approach

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