A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data

DOI10.1016/j.automatica.2022.110261zbMath1485.93128OpenAlexW4225783371MaRDI QIDQ2125553

Chao Huang

Publication date: 14 April 2022

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2022.110261

zbMATH Keywords

system identificationinvariant subspaceerror-in-variablesfrequency-domain subspace method

Mathematics Subject Classification ID

System identification (93B30) Frequency-response methods in control theory (93C80)

Related Items (1)

Combined invariant subspace \& frequency-domain subspace method for identification of discrete-time MIMO linear systems

Uses Software

• CONTSID

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Direct continuous-time approaches to system identification. Overview and benefits for practical applications
• Stochastic system transformation using generalized orthonormal basis functions with applications to continuous-time system identification
• Frequency domain subspace-based identification of discrete-time power spectra from uniformly spaced measurements
• Continuous-time frequency domain subspace system identification
• Strong consistency of least squares estimates in multiple regression II
• Comparison of some instrumental variable methods - consistency and accuracy aspects
• Identification of the deterministic part of MIMO state space models given in innovations form from input-output data
• Subspace algorithms for the identification of multivariable dynamic errors-in-variables models
• Frequency-domain subspace system identification using non-parametric noise models
• Subspace identification of individual systems in a large-scale heterogeneous network
• On the accuracy of a covariance matching method for continuous-time errors-in-variables identification
• Errors-in-variables identification using maximum likelihood estimation in the frequency domain
• Third-order cumulants based methods for continuous-time errors-in-variables model identification
• Stochastic theory of continuous-time state-space identification
• Subspace model identification Part 1. The output-error state-space model identification class of algorithms
• Least squares parameter estimation of continuous-time ARX models from discrete-time data
• Continuous-time model identification from sampled data: Implementation issues and performance evaluation
• High-Accuracy Instrumental Variable Identification of Continuous-Time Autoregressive Processes From Irregularly Sampled Noisy Data
• A Continuous-Time Linear System Identification Method for Slowly Sampled Data
• Recursive subspace identification based on instrumental variable unconstrained quadratic optimization
• Subspace-based multivariable system identification from frequency response data
• System Identification Based on Invariant Subspace
• A Link between the Canonical Decomposition in Multilinear Algebra and Simultaneous Matrix Diagonalization
• Limiting sampling results for continuous-time ARMA systems
• Nonlinear Output Regulation
• Errors-in-variables methods in system identification
• Subspace identification for continuous-time stochastic systems via distribution-based approach

This page was built for publication: A combined invariant-subspace and subspace identification method for continuous-time state-space models using slowly sampled multi-sine-wave data