By Denis Dochain
Giving an outline of the demanding situations within the regulate of bioprocesses, this accomplished e-book provides key leads to a number of fields, together with: dynamic modeling; dynamic homes of bioprocess versions; software program sensors designed for the online estimation of parameters and nation variables; keep an eye on and supervision of bioprocesses.
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Extra resources for Automatic Control of Bioprocesses (Control Systems, Robotics and Manufacturing)
WAL 97] E. WALTER and L. P RONZATO, Identification of Parametric Models from Experimental Data, Springer-Verlag, Heidelberg, 1997. W. C. A. L EWANDOWSKI, “Kinetics of phenol biodegradation in the presence of glucose”, Biotechnol. , vol. 51, pp. 87–94, 1996. 1. Introduction The complexity of dynamic bioprocess models, which are usually employed, is actually a reflection of the complexity of the processes themselves as well as of the detailed knowledge about them acquired over the course of the past decades.
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. 36, pp. 423–431, 1997. J. BATSTONE, J. K ELLER, I. V. G. PAVLOSTATHIS, A. M. S ANDERS, H. A. 1 (ADM1). IWA Task Group for Mathematical Modelling of Anaerobic Digestion Processes, IWA Publishing, London, 2002. [BER 95] O. -L. G OUZÉ, “Transient behavior of biological loop models, with application to the Droop model”, Mathematical Biosciences, vol.
BER 02] O. -L. G OUZÉ, “Global qualitative behavior of a class of nonlinear biological systems: application to the qualitative validation of phytoplankton growth models”, Artif. , vol. 136, no. 1, pp. 29–59, 2002. [BER 05a] O. B ERNARD and G. BASTIN, “Identification of reaction networks for bioprocesses: determination of a partially unknown pseudo-stoichiometric matrix”, Bioprocess Biosyst. , vol. 27, no. 5, pp. 293–301, 2005. [BER 05b] O. B ERNARD and G. BASTIN, “On the estimation of the pseudo-stoichiometric matrix for macroscopic mass balance modelling of biotechnological processes”, Math.
Automatic Control of Bioprocesses (Control Systems, Robotics and Manufacturing) by Denis Dochain