Studies on Big Data-based Process Control based on a Behavioral Systems Approach

Existing monitoring systems in the industry have been collecting a tremendous amount of process operation data but little effort has been made to use the big process data to enhance process operations. The norm of process control is control designs based on process models. However, developing accurate process dynamic models for modern complex nonlinear chemical processes is becoming increasingly difficult and expensive, sometimes infeasible. Based on the system behavioural approach integrated with machine learning techniques, you will be working with the Computer Process Control group to study a novel method for data-driven control using big process data, without process models.