Course Objectives

To get practical experience in modeling, simulation and control of physical, industry-like processes

Course Description

Practical projects about modeling, simulation and control of physical processes using PC with LabVIEW. The projects focuses on topics as e.g. system identification of transfer function models from logged process data, design of state estimators (soft sensors) using observer or Kalman-filter, and model-based control, as MPC (Model-based Predictive Control).

Learning Methods

Laboratory work, simulations, report writing, and oral presentations

Assessment Methods

Projects with reports and oral presentations counts totally 50%. A final, individual written test about topics of the project work counts 50% of the final grade. It is necessary to pass both the projects and the final test in order to get a passing grade.

Minor adjustments may occur during the academic year, subject to the decision of the Dean