Closed-loop subspace-based identification algorithm using third-order cumulants
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Publication:3497781
DOI10.1080/00207720701792164zbMath1167.93406OpenAlexW2004121995MaRDI QIDQ3497781
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Publication date: 27 July 2009
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207720701792164
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Cites Work
- A linear regression approach to state-space subspace system identification
- Application of a subspace model identification technique to identify LTI systems operating in closed-loop
- Subspace algorithms for the identification of multivariable dynamic errors-in-variables models
- A unifying theorem for three subspace system identification algorithms
- Analysis of the asymptotic properties of the MOESP type of subspace algorithms
- Cumulant based identification of multichannel moving-average models
- System identification using a linear combination of cumulant slices
- Polyspectral and cyclostationary approaches for identification of closed-loop systems
- Subspace-based multivariable system identification from frequency response data
- Blind MIMO system identification based on cumulant subspace decomposition
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