ISSN:
0001-1541
Keywords:
Chemistry
;
Chemical Engineering
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Chemistry and Pharmacology
,
Process Engineering, Biotechnology, Nutrition Technology
Notes:
A class of dynamic model approximation techniques based on a frequency domain Taylor series expansion is presented. These methods yield low-order models and are analytical rather than computational in nature; that is, one can retain important parameters (which may be time varying) from the original model in functional form in the low-order model. This feature is very attractive for on-line updating of the simplified model and subsequent control of the process. An example for a tenth-order original model has shown that the analytical low-order models provide excellent approximations to the step response of the original system.
Additional Material:
1 Tab.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/aic.690230627
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