Prerequisite/Recommended prerequisite for
participation in the module
The module is based on knowledge achieved in classical control
theory and state space control.
Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Have gained an in-depth understanding of basic aspects of
multivariable control design, the approaches, the key quantities to
consider and the fundamental limitations inherent in the
design
- Be able to, on a scientific basis, to understand and apply
advanced model based control design tools
- Be able to document understanding of multivariable systems
(multiple inputs and multiple outputs MIMO)
Skills
- Be able to understand the fundamental performance limitations
of single input and single output (SISO) systems
- Be able to represent linear systems in different ways: Transfer
functions matrices, input-output equations, state space form,
etc.
- Be able to understand what disturbances are, and to describe
their character in a suitable way
- Be able to set up design specifications for MIMO systems
- Be able to understand basic limitations in control design
- Be able to set up the configuration of multivariable
controllers
- Be able to design linear multivariable controllers
Competences
- Be able to undertake analysis, design and implementation of
advanced multivariable control systems where experience and
intuition play a very important role
Type of instruction
The teaching is organized in accordance with the general form of
teaching. Please see the programme cirruculum §17.
Extent and expected workload
Since it is a 5 ECTS course module the expected workload is
150 hours for the student.
Exam
Exams
Name of exam | Engineering Optimisation – Concepts, Methods and
Applications |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | Internal examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |