Automatic Control II
Course, Master's level, 1RT495
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 1 September 2025–2 November 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including Automatic Control I. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 April 2025
- Application code
- UU-11804
Admitted or on the waiting list?
- Registration period
- 25 July 2025–7 September 2025
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 2026, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 23 March 2026–7 June 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.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 15 October 2025
- Application code
- UU-61811
Admitted or on the waiting list?
- Registration period
- 9 March 2026–29 March 2026
- 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.