Recommended prerequisite for participation in
the module
The module is based on knowledge achieved in the module Fundamental
control theory or similar.
Content, progress and pedagogy of the
module
Learning objectives
Knowledge
- Have knowledge about state space models and representation of
systems on state space format
- Have knowledge about canonical forms and their connection with
transfer functions
- Have knowledge about the systems behaviour and stability
properties seen in relation to the eigenvalues of the system
- Have knowledge about controllability and observability
- Have knowledge about pole placement and state observer
design
- Have knowledge about sampling and reconstruction of time
continuous signals
- Have knowledge about methods for analysis of discrete-time
signals and systems using the Z-transform
- Have knowledge about methods for design of discrete-time
controllers
- Have knowledge about methods for discretization of continuous
time controllers
Skills
- Be able to model linear time invariant continuous systems
using state space representation
- Be able to solve state space equations and be able to analyse
responses and stability properties using state space models
- Be able to design state space controllers and observers for a
time continuous system
- Be able to model and analyse both open loop and closed loop
discrete time systems
- Be able to select a sampling time
- Be able to formulate specifications for a closed loop system
and be able to select a suitable discrete time controller
- Be able to design a discrete time controller in the
Z-domain
- Be able to use methods for discretization of a continuous time
controllers and be able to evaluate the usefulness of the obtained
discrete controller
- Have understanding of the practical implementation of discrete
time controllers
Competences
- Be able to handle development oriented situations related to
state space control and discrete time control
- Be able to enter into an academic and interdisciplinary
cooperation in spate space control and discrete time control
- Be able to identify own learning needs and structure own
learning related to spate space control and discrete time
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
Name of exam | State Space and Digital Control |
Type of exam | Written or oral exam |
ECTS | 5 |
Assessment | 7-point grading scale |
Type of grading | External examination |
Criteria of assessment | The criteria of assessment are stated in the Examination
Policies and Procedures |