Choice of state-space basis in combined deterministic-stochastic subspace identification
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Publication:1911280
DOI10.1016/0005-1098(95)00071-9zbMath0846.93082OpenAlexW2068406279WikidataQ127351647 ScholiaQ127351647MaRDI QIDQ1911280
Bart De Moor, Peter Van Overschee
Publication date: 22 September 1996
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0005-1098(95)00071-9
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Related Items (5)
A unifying theorem for three subspace system identification algorithms ⋮ State-space LPV model identification using kernelized machine learning ⋮ Identification and data-driven model reduction of state-space representations of lossless and dissipative systems from noise-free data ⋮ The asymptotic variance of subspace estimates. ⋮ Analysis of state space system identification methods based on instrumental variables and subspace fitting
Cites Work
- Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
- 4SID: Subspace algorithms for the identification of combined deterministic-stochastic systems
- A unifying theorem for three subspace system identification algorithms
- An error bound for a discrete reduced order model of a linear multivariable system
- Principal component analysis in linear systems: Controllability, observability, and model reduction
- A subspace algorithm for balanced state space system identification
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