Adaptive Model Predictive Batch Process Monitoring and Control
Adaptive Model Predictive Batch Process Monitoring and Control is a scholarly work, published in 2018 in ''Industrial & Engineering Chemistry Research''. The main subjects of the publication include batch processing, computer science, identification, control engineering, adaptive control, system identification, irrigation controller, process, fault detection and isolation, model predictive control, subspace topology, process control, and control theory. The work addresses the problem of loss of model validity in batch process control via online monitoring and adaptation based model predictive control.