optimal modelbased experimental design in batch

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optimal modelbased experimental design in batch

Optimal model-based experimental design in batch ...

Jan 04, 2000 The model-based experimental design of batch crystallizers is investigated. A dynamic programming formulation minimizes the volume of a confidence hyperellipsoid for the estimated nucleation and growth parameters over the supersaturation profile and the seed characteristics, namely, the crystal mass, mean size, and width of the seed distribution.

Optimal model-based experimental design in batch ...

Optimal model-based experimental design in batch crystallization Serena H. Chung, David L. Ma, Richard D. Braatz) Department of Chemical Engineering, Uni˝ersity of Illinois at Urbana-Champaign, 600 South Mathews A˝enue, Box C-3, Urbana, IL 61801-3792, USA Received 10 November 1998; accepted 3 August 1999 Abstract

(PDF) Optimal model-based experimental design in batch ...

Optimal model-based experimental design in batch crystallization. Chemometrics and Intelligent Laboratory Systems, 2000. Serena Chung

Efficient online model-based design of experiments via ...

Feb 02, 2019 The typical procedure for identifying a batch system starts from finding the optimal experimental design regarding a single batch, collecting the measurement data up to a termination instant, and then finding a parameter estimate through regression analysis. The process is repeated until the precision of parameter estimate is satisfactory.

When is optimal experimental design advantageous for the ...

Nov 15, 2009 The fed-batch process operation gives always a significant higher precision of the parameters compared to the batch mode. If the rough estimated parameter values, with which the optimal experimental design is carried out, are just known with low accuracy equidistant measurement points are in favour to model-based optimal experimental design.

Model-assisted Design of Experiments as a concept for ...

The concept is discussed for the optimization of an antibody-producing Chinese hamster ovary batch and bolus fed-batch process. The same optimal process strategies were found if comparing the model-assisted Design of Experiments (4 experiments each) and traditional Design of Experiments (16 experiments for batch and 29 experiments for fed-batch).

When is optimal experimental design advantageous for the ...

Nov 15, 2009 The fed-batch process operation gives always a significant higher precision of the parameters compared to the batch mode. If the rough estimated parameter values, with which the optimal experimental design is carried out, are just known with low accuracy equidistant measurement points are in favour to model-based optimal experimental design.

Batch sequential design of optimal experiments for ...

Our focus is on the Batch Sequential Design methods, which for a given set of initial experiments and a selection criteria, iteratively select a batch of future experiments. The performance of various selection criteria in improving model predictiveness are compared considering not only the empirically identified model discrepancy, but also the ...

Experiment design for batch-to-batch model-based learning ...

Experiment design for batch-to-batch model-based learning control Marco Forgione 1, Xavier Bombois and Paul M.J. Van den Hof2 Abstract—An Experiment Design framework for dynamical systems which execute multiple batches is presented in this paper. After each batch, a model of the system dynamics is reﬁned using the measured data.

Model-Based Evolutionary Operation Design for Batch and ...

Oct 26, 2016 The control policy determination for batch and fed-batch antibiotic production bioprocesses is an important practical issue due to the high added value of these bioproducts. Since it is highly desirable to optimize the antibiotic production, several methods have been proposed aimed at this objective. Once having a mathematical model for the bioprocess, the optimization problem can be ...

Robust identiﬁcation and control of batch processes

than estimates obtained without using optimal model-based experimental design. Once the model parameters are considered to be accurate enough, the simulation model is used by a dynamic optimization algorithm to compute the batch control policy, which can include initial conditions and physical design variables as well as

Optimal design of experiments for parameter identification ...

Optimal model-based experimental design Water and solute transport number ... A model-based design of experiments ... to a single optimal batch desalination experiment. The results obtained show

Optimal experiment design Technologies gPROMS ...

Experiment design for parameter precision aims to determine optimal experimental settings and measurement times in order to maximize the information content of the measured data, while observing all pertinent safety or operability constraints. The process can be iterative: having performed an experiment, the measured data can be used to ...

Sequential model-based A- and V-optimal design of ...

Oct 04, 2019 Sequential model-based V-optimal design was used by Thompson et al. (2010) to obtain accurate model prediction for the molecular-weight-distribution of ethylene copolymers produced using Ziegler-Natta-catalyzed (Thompson et al., 2010). In the current article, V-optimal design is considered for selecting experimental settings in a pharmaceutical ...

Population balance model-based optimal control of batch ...

Population balance model-based optimal control of batch crystallisation processes for systematic crystal size distribution design During recent years crystallisation has found applications in many chemical industries, such as pharmaceutical, petrochemical, micro-electronics and food industries.

Design of Dynamic Experiments in Modeling for Optimization ...

Mar 09, 2009 Finding optimal operating conditions fast with a scarce budget of experimental runs is a key problem to speeding up the development of innovative products and processes. Modeling for optimization is proposed as a systematic approach to bias data gathering for iterative policy improvement through experimental design using first-principles models. Designing dynamic experiments that are

BJOC - Self-optimisation and model-based design of ...

Mainly, self-optimisation experimental platforms are used to rapidly obtain optimal reaction conditions using either flow or batch experiments . In these cases, the optimisation is driven by the global or target optimisation towards the selected performance criteria. This is rather different from the objectives of model development.

Successive complementary model-based experimental designs ...

Aug 11, 2018 The scheme iteratively performs parameter estimation and model-based design of experiment (MBDOE) at the beginning and between the batches. The important difference from the existing approaches is that the MBDOE objective is defined according to the system analysis performed a priori, so that each new batch supplements what is lacking from the ...

Optimal determination of steric mass action model ...

Jun 25, 2010 For this purpose, static batch experiments are used in contrast to the protocols based on different experimental steps, which use a chromatographic column. It is shown that parameters can already be determined for a small number of experiments by using a systematic procedure based on optimal model-based experimental design and an efficient NLP ...

(PDF) A novel model-based approach to optimization and ...

A novel model-based approach to optimization and control design of batch processes Zofia Verwater-Lukszo and Ger Otten Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands Received 3 January 1994; revised 20 May 1994 Traditionally, many industrial batch processes have been operated according to rigid recipes, in spite of the fact that production would

Experiment design for batch-to-batch model-based learning ...

Experiment design for batch-to-batch model-based learning control Marco Forgione 1, Xavier Bombois and Paul M.J. Van den Hof2 Abstract—An Experiment Design framework for dynamical systems which execute multiple batches is presented in this paper. After each batch, a model of the system dynamics is reﬁned using the measured data.

Experiment Design for Batch-To-Batch Model-Based

Experiment Design for Batch-To-Batch Model-Based Learning Control Marco Forgione1, Xavier Bombois1, Paul Van den Hof2 1Delft University of Technology Delft Center for Systems and Control 2Eindhoven University of Technology Department of Electrical Engineering

Sequential Experimental Design Strategy for Optimal Batch ...

Jul 16, 2004 An underlying experimental design algorithm for obtaining optimal batch profiles in a sequential fashion is addressed. The proposed design technique, composed of the hybrid function approximation and the Taguchi orthogonal array, is developed to determine the new design profiles in the next run. This hybrid type of function approximation allows the global and local approximations to

Optimal determination of steric mass action model ...

Jun 25, 2010 For this purpose, static batch experiments are used in contrast to the protocols based on different experimental steps, which use a chromatographic column. It is shown that parameters can already be determined for a small number of experiments by using a systematic procedure based on optimal model-based experimental design and an efficient NLP ...

Continuous-EffortApproachtoModel-BasedExper- imental

Keywords: optimal experiment design, model-based design of experiments, experimental ... of a batch reactor with two experimental degrees-of-freedom and four model parameters. 2. Methodology

(PDF) A novel model-based approach to optimization and ...

A novel model-based approach to optimization and control design of batch processes Zofia Verwater-Lukszo and Ger Otten Eindhoven University of Technology, PO Box 513, 5600 MB Eindhoven, The Netherlands Received 3 January 1994; revised 20 May 1994 Traditionally, many industrial batch processes have been operated according to rigid recipes, in spite of the fact that production would

Successive complementary model-based experimental designs ...

Aug 11, 2018 The scheme iteratively performs parameter estimation and model-based design of experiment (MBDOE) at the beginning and between the batches. The important difference from the existing approaches is that the MBDOE objective is defined according to the system analysis performed a priori, so that each new batch supplements what is lacking from the ...

Population balance model-based optimal control of batch ...

Population balance model-based optimal control of batch crystallisation processes for systematic crystal size distribution design During recent years crystallisation has found applications in many chemical industries, such as pharmaceutical, petrochemical, micro-electronics and food industries.

Application of model discriminating experimental design ...

Jun 27, 2005 A model discriminating experimental design approach for fed‐batch processes has been developed and applied to the fermentative production of L ‐valine by a genetically modified Corynebacterium glutamicum strain possessing multiple auxotrophies as an example. Being faced with the typical situation of uncertain model information based on preliminary experiments, model discriminating design ...

Self-optimisation and model-based design of experiments ...

basis of an automated microreactor experimental system for several complex reactions [8,12,13]. The framework uses facto-rial design of experiments to obtain an initial data set for param-eter estimation, followed by an iterative search with online model discrimination and parameter estimation, guided by D-optimal design.

Model-assisted Design of Experiments as a concept for ...

Feb 26, 2019 Design of Experiments methods offer systematic tools for bioprocess development in Quality by Design, but their major drawback is the user-defined choice of factor boundary values. This can lead to several iterative rounds of time-consuming and costly experiments. In this study, a model-assisted Design of Experiments concept is introduced for the knowledge-based reduction of boundary

Population balance model-based optimal control of batch ...

model-based optimal control of batch crystallisation processes for systematic crystal size distribution design This item was submitted to Loughborough University's Institutional Repository by the/an author. Additional Information: • A Doctoral Thesis. Submitted in partial ful llment of the requirements

Optimal model-based design of the twin-column CaptureSMB ...

Using model based optimization, both processes were optimized and compared over a wide range of operating conditions. A trade-off between productivity and capacity utilization was found, and the resulting pareto-curves showed that CaptureSMB dominates batch, except at very low productivity values.

Model based fed-batch control Bioreactors

Model based fed-batch control. In fermentations, where it is necessary to provide increasing high density biomass (for example, it is typical for recombinant protein biosynthesis, using E.coli strains), the choice of optimal substrate feeding profile is substantial. Scientific publications describe specifically created experimental systems for ...