Empirical Modelling

10 credits

Syllabus, Master's level, 1RT890

A revised version of the syllabus is available.
Code
1RT890
Education cycle
Second cycle
Main field(s) of study and in-depth level
Technology A1N
Grading system
Pass with distinction, Pass with credit, Pass, Fail
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.

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