Model Structure Identification from Experimental Data

Beck, M.B. (1979). Model Structure Identification from Experimental Data. IIASA Research Report (Reprint). IIASA, Laxenburg, Austria: RR-80-004. Reprinted from Theoretical Systems Ecology: Advances and Case Studies, E. Halfon (ed.), Academic Press, London, UK, pp. 259-289 [1979]

[thumbnail of RR-80-04.pdf]
RR-80-04.pdf - Published Version
Available under License Creative Commons Attribution.

Download (10MB) | Preview


Methods for identifying the structure of dynamic mathematical models for water quality by reference to experimental field data are discussed. The context of the problem of model structure identification is described by briefly reviewing the steps involved in the overall process of system identification. These steps include experimental design; choice of model type; model structure identification; parameter estimation; and verification/validation. Two examples of approaches to solving the problem of model structure identification are presented. The first example is concerned with identifying the structure of a black box (input/output) model for the variations of gas production in the anaerobic digestion process of wastewater treatment. The second example addresses the more difficult problem of identifying the structure of an internally descriptive ("mechanistic") model form.

Item Type: Monograph (IIASA Research Report (Reprint))
Research Programs: Resources and Environment Area (REN)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 01:45
Last Modified: 27 Aug 2021 17:09

Actions (login required)

View Item View Item