Advanced Process Dynamics and Control



This course aims to provide multidisciplinary fundamentals and solid mathematical foundation of modern energy process systems engineering. It presents a systematic framework for physics-based and empirical dynamic process modeling, transient analysis, feedback control and optimization. This course is particularly dedicated to the most popular advanced control strategy in energy process industries - model predictive control (MPC). Other optimal control approaches are also introduced to deal with plant disturbances, uncertainties, nonlinearities, instabilities and constraints. This course emphasizes the use of advanced math tools to develop dynamic models and design advanced controllers for energy process systems.

Course period25/08/19 → …