Cybernetics (ELE620)

Continuous-time and discrete-time systems theory, using both the state-space representation and transfer functions. Discretization of continuous-time systems. Stability, controllability and observability. State-feedback and LQR control. State observation and Kalman filter. Parametrical system identification: ARX and ARMAX models, recursive least-squares approaches.


Course description for study year 2025-2026. Please note that changes may occur.

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

ELE620

Version

1

Credits (ECTS)

10

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

Content

NB! This is an elective course and may be cancelled if fewer than 10 students are enrolled by August 20th for the autumn semester.

Continuous-time and discrete-time systems theory, using both the state-space representation and transfer functions. Discretization of continuous-time systems. Stability, controllability and observability. State-feedback and LQR control. State observation and Kalman filter. Parametrical system identification: ARX and ARMAX models, recursive least-squares approaches.

Learning outcome

  • Describe discrete and continuous dynamic systems by transfer-functions and state-space-models

  • Transform a dynamic system from one form to another

  • Use state-space models for control purposes

  • Do state and parameter estimation using state observers, Kalman filtering and RLS

Required prerequisite knowledge

None

Exam

Form of assessment Weight Duration Marks Aid
Written exam 1/1 4 Hours Letter grades No printed or written materials are allowed. Approved basic calculator allowed

Coursework requirements

Exercises

5 assignments should be delivered within the specified deadlines. Each assignment will be graded between 0 and 100 points. 350 points are required to gain access to the exam. In addition, each student will be assigned an academic paper on a topic related to the course, which they must present.

Course teacher(s)

Course coordinator:

Damiano Rotondo

Course teacher:

Damiano Rotondo

Laboratory Engineer:

Didrik Efjestad Fjereide

Head of Department:

Tom Ryen

Method of work

6-8 hours of lectures per week.

Overlapping courses

Course Reduction (SP)
System identification (MIK130_1) 10
System identification (MIK130_2) 10

Open for

Admission to Single Courses at the Faculty of Science and Technology
Cybernetics and Applied AI - Master of Science Degree Programme
Exchange programme at Faculty of Science and Technology

Admission requirements

Must meet the admission requirements of one of the study programmes the course is open for.

Course assessment

The faculty decides whether early dialogue should be conducted in all or selected groups of courses offered by the faculty. The purpose is to gather feedback from students for making changes and adjustments to the course during the current semester. In addition, a digital evaluation, students’ course evaluation, must be conducted at least once every three years. Its purpose is to collect students` experiences with the course.

Literature

The syllabus can be found in Leganto