Automatic Control III

5 credits

Syllabus, Master's level, 1RT496

A revised version of the syllabus is available.
Code
1RT496
Education cycle
Second cycle
Main field(s) of study and in-depth level
Technology A1F
Grading system
Pass with distinction, Pass with credit, Pass, Fail
Finalised by
The Faculty Board of Science and Technology, 28 April 2014
Responsible department
Department of Information Technology

Entry requirements

120 credits and Automatic Control II.

Learning outcomes

Students who pass the course should be able to

  • determine poles and zeros of multivariable dynamic models represented in state space form and as transfer functions
  • analyse non-linear control systems
  • analyse given specifications for a control system and decide if these can be fulfiled, and if the control problem is hard or not
  • design controllers for linear multivariable systems based on internal model control, optimisation of H-2 and H-infinity criteria, and robust control
  • solve simpler optimal control problems

Content

Profound mathematical description of linear multivariable systems. Controller synthesis. Sensitivity and robustness for multivariable systems. Theoretical limitations of performance. Robust loop shaping. Analysis of control systems with simple nonlinearities. Optimal control.

Instruction

Lectures, problem solving sessions and homework assignments.

Assessment

Homework assignments. Complementary written examination may occur.

FOLLOW UPPSALA UNIVERSITY ON

facebook
instagram
twitter
youtube
linkedin