Model Reference Adaptive Estimation Applied to a Bioprocess

Abstract We are concerned in this paper by some experimental studies of an adaptive estimation algorithm based on the reference model approach, using a nonlinear process model. The adaptive estimation theory is then exposed before to be applied on a real-life batch fermentation process. Particular emphasis is placed on the experimental evaluation of the method.