Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models

Niels Rode Kristensen; H. Madsen; Sten Bay Jørgensen

doi:10.1016/S1570-7946(02)80178-X

Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models

Niels Rode Kristensen (Author)
, H. Madsen (Author)
, Sten Bay Jørgensen (Author)

Department of Chemical and Biochemical Engineering

Research output: Non-textual form › Sound/Visual production (digital) › Research

Abstract

A methodology is presented that combines modelling based on first principles and data based modelling into a modelling cycle that facilitates fast decision-making based on statistical methods. A strong feature of this methodology is that given a first principles model along with process data, the corresponding modelling cycle model of the given system for a given purpose. A computer-aided tool, which integrates the elements of the modelling cycle, is also presented, and an example is given of modelling a fed-batch bioreactor.

Original language	English
Publication date	2002
Size	10
DOIs	https://doi.org/10.1016/S1570-7946(02)80178-X
Publication status	Published - 2002
Event	12th European Symposium on Computer Aided Process Engineering - The Hague, Netherlands Duration: 26 May 2002 → 29 May 2002 Conference number: 12, 35

Conference

Conference	12th European Symposium on Computer Aided Process Engineering
Number	12, 35
Country/Territory	Netherlands
City	The Hague
Period	26/05/2002 → 29/05/2002

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10.1016/S1570-7946(02)80178-X

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title = "Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models",

abstract = "A methodology is presented that combines modelling based on first principles and data based modelling into a modelling cycle that facilitates fast decision-making based on statistical methods. A strong feature of this methodology is that given a first principles model along with process data, the corresponding modelling cycle model of the given system for a given purpose. A computer-aided tool, which integrates the elements of the modelling cycle, is also presented, and an example is given of modelling a fed-batch bioreactor.",

author = "Kristensen, \{Niels Rode\} and H. Madsen and J{\o}rgensen, \{Sten Bay\}",

year = "2002",

doi = "10.1016/S1570-7946(02)80178-X",

language = "English",

note = "12th European Symposium on Computer Aided Process Engineering, ESCAPE-12 ; Conference date: 26-05-2002 Through 29-05-2002",

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Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models. Kristensen, Niels Rode (Author); Madsen, H. (Author); Jørgensen, Sten Bay (Author). 2002. Event: 12th European Symposium on Computer Aided Process Engineering, The Hague, Netherlands.

Research output: Non-textual form › Sound/Visual production (digital) › Research

TY - ADVS

T1 - Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models

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A2 - Madsen, H.

A2 - Jørgensen, Sten Bay

N1 - Conference code: 12, 35

PY - 2002

Y1 - 2002

N2 - A methodology is presented that combines modelling based on first principles and data based modelling into a modelling cycle that facilitates fast decision-making based on statistical methods. A strong feature of this methodology is that given a first principles model along with process data, the corresponding modelling cycle model of the given system for a given purpose. A computer-aided tool, which integrates the elements of the modelling cycle, is also presented, and an example is given of modelling a fed-batch bioreactor.

AB - A methodology is presented that combines modelling based on first principles and data based modelling into a modelling cycle that facilitates fast decision-making based on statistical methods. A strong feature of this methodology is that given a first principles model along with process data, the corresponding modelling cycle model of the given system for a given purpose. A computer-aided tool, which integrates the elements of the modelling cycle, is also presented, and an example is given of modelling a fed-batch bioreactor.

U2 - 10.1016/S1570-7946(02)80178-X

DO - 10.1016/S1570-7946(02)80178-X

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T2 - 12th European Symposium on Computer Aided Process Engineering

Y2 - 26 May 2002 through 29 May 2002

ER -

Using continuous time stochastic modelling and nonparametric statistics to improve the quality of first principles models

Abstract

Conference

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