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 new approach is presented for the construction of linear, low-order stable, state-variable, dynamic models from experimental pulse response data of process systems: the problem of practical realization. This problem is solved by deriving and implementing constraints in the estimation of Markov parameters which are input to a realization algorithm. This is accomplished sequentially by using an algorithm for recursive partial realization. Bounds on the Markov parameters are derived from qualitative information about the smoothness of the response curve and used in a stagewise regression procedure. The presente procedure identifies the faster modes first; hence the tail of the pulse response, if inordinately long and inaccurate, may be ignored while lower-order partial realizations are constructed.
Additional Material:
2 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/aic.690220212
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