Laurent Dewasme

TL;DR: This work addresses the control of a lab-scale fed-batch culture of E. coli with a nonlinear model predictive controller (NMPC) to determine the optimal feed flow rate of substrate to maximize glucose oxidation, while minimizing glucose fermentation.

TL;DR: In this paper, extremum seeking is used to assess the actual critical substrate level, which is a function of the cell respiratory capacity, and the latter is modelled as a function representing the existence of two different metabolic modes, namely the respirative mode and the respiro-fermentative mode, as well as modulation factors taking account of inhibiting metabolites.

TL;DR: In this article, Extended Kalman Filters (EKF) are developed for various hardware sensor configurations, taking account of their reliability and cost, and including a possible kinetic parameter estimation.

TL;DR: A simple macroscopic model of the cell culture is used, which is based on the overflow metabolism paradigm, to specify optimal culture conditions, and the natural formulation of a nonlinear model predictive control strategy (NMPC).

TL;DR: In this paper, an adaptive RST control scheme for the regulation of the ethanol concentration in fed-batch cultures of S. cerevisiae is presented, which only requires one on-line measurement signal, making it easily implementable in an industrial environment.