Dynamic system multivariate calibration with low-sampling-rate y data

Journal of Chemometrics

Volumn 14, Issue 5-6, 2000, Pages 617-628

  Ergon, Rolf ^a   Halstensen, Maths ^a  

^a Telemark Institute of Technology   (Norway)

Author keywords

Calibration; Dynamic; Multirate; Multivariate

Indexed keywords

LEAST SQUARES APPROXIMATIONS; PRINCIPAL COMPONENT ANALYSIS;

ESTIMATION RESULTS; HIGH RATE; MULTI RATE; MULTIVARIATE; MULTIVARIATE CALIBRATION; PARTIAL LEAST SQUARE REGRESSION; PRINCIPAL COMPONENTS; SAMPLING RATES; SYSTEM IDENTIFICATION METHODS; TIMES SERIES;

CALIBRATION;

ACOUSTICS; CALIBRATION; CHEMOMETRICS; CONFERENCE PAPER; DATA ANALYSIS; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SENSOR; STATISTICAL MODEL;

EID: 0033653087     PISSN: 08869383     EISSN: None     Source Type: Journal    
DOI: 10.1002/1099-128X(200009/12)14:5/6<617::AID-CEM618>3.0.CO;2-M     Document Type: Conference Paper

References (24)

1. The use of biased least-squares estimators for parameters in discrete-time pulse-response models
2. Multivariate identification: A study of several methods
3. Identification of finite response models by principal components regression: Frequency-response properties
4. Identification of FIR models: Methods and robustness issues
5. On primary output estimation by use of secondary measurements as input signals in system identification
6. A data-based process modeling approach and its applications
7. A comparison of neural networks, non-linear biased regression and a genetic algorithm for dynamic model identification
8. Recursive exponentially weighted PLS and its applications to adaptive control and prediction
9. Multivariate process and quality monitoring applied to an electrolysis process. Part II. Multivariate time-series analysis of lagged latent variables
10. Dynamic inferential estimation using principal components regression (PCR)
11. Dynamic system multivariate calibration by system identification methods
12. Dynamic system multivariate calibration
13. Dynamic system calibration: The low primary output sampling rate case
14. A method for identification of combined deterministic-stochastic systems
15. Acoustic chemometrics for fluid flow quantifications-II: A small constriction will go a long way