ISSN:
0886-9383
Keywords:
Recursive parameter estimation
;
Digital filtering
;
Kinetic analysis
;
Kalman filtering
;
Computational efficiency
;
Chemistry
;
Analytical Chemistry and Spectroscopy
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Chemistry and Pharmacology
Notes:
The extended Kalman filter has been used to estimate initial reactant concentrations and rate constants for rate-based chemical assays employing a second-order chemical reaction. Application of first- and second-order models to data permits reaction order identification by examining either the filter innovations or the evolution of the filter states. Because of non-linearities in the second-order kinetic model, repetitive filtering is necessary for convergence to reliable state estimates. Reduction of the filter calculation burden is investigated through the use of information-based filter methods, and it is demonstrated that substantial decreases in the computational burden are possible without loss of filter accuracy. These decreases make possible the application of second-order filters on large data sets, and they make real-time filtering possible with a fast processor.
Additional Material:
10 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/cem.1180020206
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