Automatic Control II

5 credits

Course, Master's level, 1RT495

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
31 August 2026–1 November 2026
Language of instruction
English
Entry requirements

120 credits including Automatic Control I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 April 2026
Application code
UU-11804

Admitted or on the waiting list?

Registration period
27 July 2026–6 September 2026
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
31 August 2026–1 November 2026
Language of instruction
English
Entry requirements

120 credits including Automatic Control I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
27 July 2026–6 September 2026
Information on registration from the department

Expand the information below to show details on how to apply and entry requirements.

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
22 March 2027–6 June 2027
Language of instruction
English
Entry requirements

120 credits including Automatic Control I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 October 2026
Application code
UU-61804

Admitted or on the waiting list?

Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
22 March 2027–6 June 2027
Language of instruction
English
Entry requirements

120 credits including Automatic Control I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Information on registration from the department

About the course

The course covers both continuous-time and discrete-time linear systems. It includes a sampling of continuous-time systems and an introduction to discrete-time systems. Stochastic processes are introduced and used as models for disturbances, and the Kalman filter is introduced as a tool for estimation and prediction. Based on this, LQ/LQG and MPC are presented as examples of optimal controllers.