Download Automatic Control of Bioprocesses (Control Systems, Robotics by Denis Dochain PDF

By Denis Dochain

Giving an outline of the demanding situations within the keep an eye on of bioprocesses, this entire e-book provides key leads to numerous fields, together with: dynamic modeling; dynamic houses of bioprocess versions; software program sensors designed for the online estimation of parameters and country variables; regulate and supervision of bioprocesses.

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Vol. 10, pp. 707–723, 1968. E. F. O LLIS, Biochemical Engineering Fundamentals, McGrawHill, New York, 1986. K. BAJPAI and M. R EUSS, “Evaluation of feeding strategies in carbon-regulated secondary metabolite production through mathematical modelling”, Biotechnol. , vol. 23, pp. 717–738, 1981. [BAS 90] G. BASTIN and D. D OCHAIN, On-line Estimation and Adaptive Control of Bioreactors, Elsevier, Amsterdam, 1990. [BAT 97] D. BATSTONE, J. K ELLERAND, B. N EWELL and M. N EWLAND, “Model development and full scale validation for anaerobic treatment of protein and fat based wastewater”, Water Science and Technology, vol.

Different approaches have been developed for planning experiments on the basis of covariance matrix V , or equivalently, on the basis of Fisher information matrix F , via the optimization of certain scalar measurements of these matrices [MUN 91]: – A – optimal design criterion: min[tr(F −1 )] – Modified A – optimal design criterion: max[tr(F )] – D – optimal design criterion: max[det(F )] – E – optimal design criterion: max[λmin (F )] – Modified E – optimal design criterion: min λmax (F ) λmin (F ) where λmin (F ) and λmax (F ) are the lowest and the highest eigenvalues of the Fisher information matrix, respectively.

For the parametric domains where there is only one strictly positive equilibrium, this equilibrium is then globally stable. 8. Conclusion In this chapter, we presented a constructive and systematic method to develop bioprocess models in 4 stages. Let us recall here that bioprocess modeling should be carried out only with the vision of an objective clearly identified at the beginning, and in relation to the quality and quantity of information available to establish and validate the model. The first stage of modeling consists of collecting physical and chemical principles, and making an assumption about a reaction scheme to arrive at a model of mass balance.

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