Course contents:

Theme 1 : Process modelling – the basis of computational engineering:

Review on the systematic construction of dynamic models for physical-chemical-biological processes. Extension into large-scale models and their abstraction into network models and the application of time-scale assumptions leading to cruder process descriptions on a longer time scale.

Theme 2 : Analysis of linear and nonlinear dynamics:

Focus on stability with possible excursions into observability and controllability.

Theme 3 : Matching the model to the process:

Focus on multi-dimensional regression and variance analysis of linear-in-parameter models. Extension to system identification of basic dynamic models. Nonlinear parameter identification and model-based design of experiments.

Theme 4 : Hybrid systems:

Discrete-event dynamic systems and their interaction with continuous processes aiming at supervisory control, planning and logistic issues.

Comment:

The relative emphasis of the themes is adjusted to the group of participants at the beginning of the course.

Prerequisites:

Basics of chemical engineering, linear algebra, numerical methods and optimisation.