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This paper integrates support vector machines (SVM) into multiway partial least squares (MPLS) resulting in a nonlinear MPLS model. Process data from normal historical batches are used to develop the MPLS model, and a series of single-input-single-output SVM networks are adapted to approximate nonlinear inner relationship between input and output variables. This model can provide a prediction of end-of-batch...
This work deals with the design of on-line estimation strategies for imprecisely known kinetics of an alcoholic fermentation bioprocess, which takes place inside a Fed-batch Bioreactor. The kinetic rates of this process are highly nonlinear, uncertain and time-varying. In order to obtain on-line estimates useful in control design, three kinetic parameter estimation algorithms are implemented: an observer-based...
In this paper a new method for the estimation and prediction of relevant state variables of the cultivation process of the bacterium Streptococcus thermophilus as starter culture is presented. In order to improve the process and to maximize the quality of the product, the biomass should be harvested when the acidification activity has reached its maximum. The activity can be interpreted as the capability...
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