Prerequisite/Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have knowledge about state-space modelling and formulation of systems in state-space form
• Have knowledge about canonical forms and consistency with transfer functions
• Have knowledge about a system's behavior and stability in relation to the system's eigenvalues
• Have knowledge about controllability and observability
• Have knowledge about pole placement and observer design
• Have knowledge about discretization (sampling) and reconstruction of continuous time signals
• Have knowledge about methods for analysing discrete time signals and systems (Z transformation)
• Have knowledge about methods for design of digital controllers
• Have knowledge about methods for discretisation of continuous time controllers

Skills

• Be able to model continuous time linear dynamic systems in state-space form
• Be able to solve state-space equation and be able to analyse system's response and stability based on a state-space model
• Be able to design both state-space controller and state-space observer for continuous time systems
• Be able to model and analyse discrete-time systems in both open and closed-loop
• Be able to choose sampling time
• Be able to set performance requirements for a closed-loop system and be able to select the controller structure
• Be able to design digital controller directly in the z-domain
• Be able to use methods for discretizing continuous time regulators and be able to assess the usefulness of the results
• Have an understanding of the practical implementation of digital controllers

Competences

• Be able to handle developments in connection with state-space and digital control
• Participate independently in professional and interdisciplinary collaboration with a professional approach for state-space and digital control
• Identify own learning needs and structure own learning within state-space and digital control

Type of instruction

The programme is based on a combination of academic, problem oriented and interdisciplinary approaches and organised based on the following types of instruction that combine skills and re-flection:

• lectures
• class teaching
• project work
• workshops
• exercises (individually and in groups)
• teacher feedback
• professional reflection
• portfolio work
• laboratory work
• e-learning

Extent and expected workload

Since it is a 5 ECTS course, the work load is expected to be 150 hours for the student.

Exam

Exams