Uniformly bounded error estimator for bioprocess with unstructured cell growth models

Ricardo Aguilar-López, Juan Mata-Machuca, Rafael Martinez-Guerra, Pablo Antonio López-Pérez

Research output: Contribution to journalArticle

2 Scopus citations


In this paper, we proposed a uniformly bounded error estimator for a common class of bioreactor models. The biomass and other products are estimated by means of substrate concentration measurements employing the characteristics of the unstructured cell growth models, which are linearly dependent. The estimation methodology is based on a suitable change of variable which allows generating artificial variables to infer the remaining mass concentrations constructing a differential-algebraic structure. The proposed methodology is applied to a class of Monod unstructured kinetic model with success. Some remarks about the convergence characteristics of the proposed estimator are given and numerical simulations show its satisfactory performance. © 2009 The Berkeley Electronic Press. All rights reserved.
Original languageAmerican English
JournalChemical Product and Process Modeling
StatePublished - 14 Aug 2009
Externally publishedYes


Cite this