 Power and limitations of model based bioprocess optimizationJan F.M. Van Impe Mathematics and Computers in Simulation (MATCOM), 1996, vol. 42, issue 2, 159-169 Abstract: Since the last few decades the application of system theory concepts and modern model based control techniques to the optimization of biotechnological processes has received a lot of attention. This represents a challenging field of research for the following reasons. First, the dynamics of bioprocesses are determined by the non-linear behavior of living micro-organisms. Therefore, knowledge of reaction kinetics is most often only partial, which represents a serious limitation for mathematical modeling. In addition, bioprocess characteristics are time-varying, which requires on-line adaptation of the model parameters or even the model structure. Second, until now the number of on-line measurement systems is very small, while the measured quantities are most often only indirectly related to the important biological state variables. This inhibits the on-line validation of complex model structures. Therefore, in the past bioprocess optimization used no model at all. However, an adequate mathematical bioprocess description is the basic ingredient for the development of model based control strategies. Date: 1996 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:42:y:1996:i:2:p:159-169 DOI: 10.1016/0378-4754(95)00128-X Access Statistics for this article Mathematics and Computers in Simulation (MATCOM) is currently edited by Robert Beauwens More articles in Mathematics and Computers in Simulation (MATCOM) from Elsevier |
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