New Directions in Bioprocess Modeling and Control: Maximizing Process Analytical Technology Benefits
New Directions in Bioprocess Modeling and Control: Maximizing Process Analytical Technology Benefits will help you define, develop, and apply a virtual plant, model predictive control, first-principle models, neural networks, and multivariate statistical process control.

Michael A. Boudreau, Gregory K. McMillan
Models offer benefits even before they are put on line. Based on years of experience, the authors reveal that significant improvements can result from the process knowledge and insights that are gained when building experimental and first-principle models for process monitoring and control. Doing modeling in the process development and early commercialization phases is advantageous because it increases process efficiency and provides ongoing opportunities for improving process control. This technology is important for maximizing benefits from analyzers and control tool investments.
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