Empirical Modelling
Syllabus, Master's level, 1RT890
- Code
- 1RT890
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Technology A1N
- Grading system
- Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
- Finalised by
- The Faculty Board of Science and Technology, 7 March 2011
- Responsible department
- Department of Information Technology
Entry requirements
120 credits including Automatic Control I and a course in basic mathematical statistics.
Content
Examples of models for signal and systems. Introduction to stochastic processes. Modelling of dynamic systems with physical and empirical modelling. Parameter estimation in dynamic models; linear regression, the least squares method and prediction error methods. Black box and grey box modelling. Methods for model validation. Possibilities and limitations with empirical modelling. Overview of some modelling problems in energy systems.
Project: There are several project proposals to choose from, e.g. empirical modelling of some systems with relevance to energy systems.
Instruction
Lectures, lessons, tutorials and laboratory work.
Project supervision.
Assessment
Passed mini project and passed laboratory course are required. Complementary written examination may occur.