Kalman filter applied to setpoint control in continuous titrations

Thijssen, P.C.; Janssen, Niek; Kateman, G.; Smit, H.C.

doi:10.1016/s0003-2670(00)82938-4

Cited by 8 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The quality of the results is improved by smoothing all the stored estimates of the Kalman filter. An extensive description of the smoothing procedure is given in [8]. As can be seen from table 1, a first order calibration graph (4 parameter state, x I-x4) is obviously not satisfying and the model has to be extended to a second order drifting calibration graph (6 parameter state, xl -x6).…”

Section: Application In Practicementioning

confidence: 99%

The use of Kalman filtering and correlation techniques in analytical calibration procedures

Smit¹

1985

J. RES. NATL. BUR. STAN.

Self Cite

View full text Add to dashboard Cite

Different chemometric methods to improve calibrations are described. A Kalman filter is applied for processing and predicting slowly varying parameters of a linear calibration graph. The results are used for the evaluation of unknown samples, and for deciding whether to calibrate again or to analyze the next unknown sample. Another approach of the calibration problem, particularly in chromatography, is the use of correlation techniques. The noise reduction property of correlation chromatography is used to extend the calibration graph to very low concentrations. Furthermore, an experimental technique to determine a calibration curve and the unknown sample simultaneously under exactly the same conditions is described.

show abstract

Section: Application In Practicementioning

confidence: 99%

The use of Kalman filtering and correlation techniques in analytical calibration procedures

Smit¹

1985

J. RES. NATL. BUR. STAN.

Self Cite

View full text Add to dashboard Cite

show abstract

Recursive parameter estimation

Rutan

1990

Journal of Chemometrics

View full text Add to dashboard Cite

SUMMARYThe use of recursive filtering techniques for parameter estimation in a variety of areas is reviewed. In particular, the Kalman filter algorithm is described, along with several variations, including square-root, UDUT and information filters. The solution to parameter estimation problems is discussed for both linear and non-linear models. Applications described include calibration, curve resolution in spectroscopy, chromatography, electrochemistry, kinetic analysis and process monitoring.

show abstract

Mathematical structure of chromatographic optimization based on information theory: II. Analytical role of chromatographic variables

Hayashi

Matsuda

1991

Chromatographia

View full text Add to dashboard Cite

Kalman filter applied to setpoint control in continuous titrations

Cited by 8 publications

References 8 publications

The use of Kalman filtering and correlation techniques in analytical calibration procedures

The use of Kalman filtering and correlation techniques in analytical calibration procedures

Recursive parameter estimation

Mathematical structure of chromatographic optimization based on information theory: II. Analytical role of chromatographic variables

Contact Info

Product

Resources

About