Statistical analysis of novel subspace identification methods
From MaRDI portal
Publication:671461
DOI10.1016/0165-1684(96)00051-5zbMath0875.93563OpenAlexW2078444284MaRDI QIDQ671461
K. Peternell, Wolfgang Scherrer, Manfred Deistler
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)00051-5
Related Items (18)
Some facts about the choice of the weighting matrices in Larimore type of subspace algorithms ⋮ Robust data driven \(H_\infty\) control for wind turbine ⋮ Criteria for informative experiments with subspace identification ⋮ High-performance numerical algorithms and software for subspace-based linear multivariable system identification ⋮ Consistency of subspace methods for signals with almost-periodic components ⋮ On the ill-conditioning of subspace identification with inputs ⋮ ESTIMATING LINEAR DYNAMICAL SYSTEMS USING SUBSPACE METHODS ⋮ Analysis of the asymptotic properties of the MOESP type of subspace algorithms ⋮ Subspace identification for non-linear systems with measured-input non-linearities ⋮ Subspace identification – a Markov parameter approach ⋮ The role of vector autoregressive modeling in predictor-based subspace identification ⋮ Asymptotic properties of subspace estimators ⋮ Order estimation for subspace methods ⋮ Estimating ARMAX systems for multivariate time series using the state approach to subspace algorithms ⋮ A Note on the Specification and Estimation of ARMAX Systems ⋮ Subspace like identification incorporating prior information ⋮ A novel subspace identification approach with enforced causal models ⋮ Consistency analysis of subspace identification methods based on a linear regression approach
This page was built for publication: Statistical analysis of novel subspace identification methods