Soft-Sensor Modeling and Predictive Control for Fermentation Process: Taking L-lysine Fermentation Process as an Example

The intricacies of the L-lysine fermentation process are unveiled in this comprehensive exploration of soft-sensor modeling and predictive control. The authors delve into the challenges presented by its non-linear dynamics and strong coupling, painting a vivid picture of the operational complexities inherent in biotechnology processes. By focusing on this specific fermentation method, they offer valuable insights into optimizing production efficiency and product quality.

In weaving together theory and practical applications, the work emphasizes innovative modeling approaches that serve as critical tools for real-time monitoring and control. Through their detailed analysis, the authors enable practitioners and researchers alike to better understand the underlying mechanisms at play, ultimately paving the way for advancements in fermentation technology. The book serves as an essential resource for those looking to enhance control strategies in bioprocessing environments.