L2 Model reduction and variance reduction

Automatica

Volumn 38, Issue 9, 2002, Pages 1517-1530

  Tjarnstrom F ^a   Ljung, L ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

Author keywords

Identification; Model reduction; Variance reduction

Indexed keywords

APPROXIMATION THEORY; DATA REDUCTION; ERROR ANALYSIS; LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS;

MODEL REDUCTION; VARIANCE REDUCTION;

FINITE AUTOMATA;

EID: 0036721753     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(02)00066-3     Document Type: Article

References (17)

1. ∞-error bounds
2. On output-error methods for system identification
3. Asymptotic variance expressions for identified black-box transfer function models
4. Principal component analysis in linear systems: Controllability, observability and model reduction
5. On the estimation of the parameters of vector Gaussian processes from sample covariances
6. Asymptotic accuracy of ARMA parameter estimation methods based on sample covariances
7. An indirect prediction error method for system identification
8. 2 optimal model reduction
9. On reparameterization of loss functions used in estimation and the invariance principle
10. 2 model reduction when undermodeling - The output error case
11. Variance properties of a two-step ARX estimation procedure
12. Model reduction of high order estimated models: The asymptotic ML approach
13. Black-box identification of MIMO transfer functions: Asymptotic properties of prediction error models