An estimator of the inverse covariance matrix and its application to ML parameter estimation in dynamical systems
From MaRDI portal
Publication:1592898
DOI10.1016/S0005-1098(00)00127-8zbMath0967.93092OpenAlexW1997324257WikidataQ127740051 ScholiaQ127740051MaRDI QIDQ1592898
Publication date: 1 May 2001
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0005-1098(00)00127-8
Nonlinear systems in control theory (93C10) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
Related Items (5)
\(H_\infty\)-norm-based optimization for the identification of gray-box LTI state-space model parameters ⋮ An algorithm of uniform ultimate boundedness for a class of switched linear systems ⋮ Hellinger distance estimation of nonlinear dynamical systems. ⋮ Parameter estimation in nonlinear systems with auto and crosscorrelated noise ⋮ Revisiting Hammerstein system identification through the two-stage algorithm for bilinear parameter estimation
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
- On covariance function tests used in system identification
- Study of conditional ML estimators in time and frequency-domain system identification
- Frequency-domain system identification using non-parametric noise models estimated from a small number of data sets
- Nonlinear Regression with Autoregressive Time Series Errors
- Nonlinear Regression with Autocorrelated Errors
- Inverses of Toeplitz Operators, Innovations, and Orthogonal Polynomials
- A Simplex Method for Function Minimization
- A comparative study of AR order selection methods
This page was built for publication: An estimator of the inverse covariance matrix and its application to ML parameter estimation in dynamical systems