Automatic Control II
Course, Master's level, 1RT495
Autumn 2023 Autumn 2023, Uppsala, 33%, On-campus, Swedish Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 28 August 2023–30 October 2023
- Language of instruction
- Swedish
- 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 17 April 2023
- Application code
- UU-11804
Admitted or on the waiting list?
- Registration period
- 27 July 2023–4 September 2023
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 March 2024–2 June 2024
- 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.
- Application fee: SEK 900
- First tuition fee instalment: SEK 12,083
- Total tuition fee: SEK 12,083
- Application deadline
- 16 October 2023
- Application code
- UU-61811
Admitted or on the waiting list?
- Registration period
- 4 March 2024–25 March 2024
- Information on registration.
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.