This project compares tuning methods for multivariable control using an endpoint Model Predictive Controller (MPC) for Penicillin and CHO cell production. The goal is to reduce variability by optimizing the feed.
This project provides data, scripts, and functions for the multivariate statistical data analysis of Cell-Free Protein Synthesis (CFPS). It supports the analysis, operation, and control of CFPS processes.
Industrial process control application that utilizes the Model Predictive Control algorithm.
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