Automatic Control I

5 credits

Syllabus, Bachelor's level, 1RT490

A revised version of the syllabus is available.
Education cycle
First cycle
Main field(s) of study and in-depth level
Sociotechnical Systems G2F, Technology G2F
Grading system
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
Finalised by
The Faculty Board of Science and Technology, 23 April 2010
Responsible department
Department of Information Technology

Entry requirements

60 credits science/technology including Single variable calculus. Linear algebra II. Transform methods.

Learning outcomes

Students who pass the course should be able to

  • define basic concepts in automatic control
  • determine relations between models of linear dynamic systems in form of differential equations, state space models, transient responses, transfer functions and frequency responses
  • analyse linear systems with respect to stability, steady state properties, controllability and observability, and fastness and damping
  • evaluate closed loop systems with respect to stability, as well as robustness against and sensitivity for model errors and disturbances
  • interpret and apply graphical methods and tools like block diagrams, root locus, Bode and Nyquist diagrams
  • understand the function of simple controllers (PID controllers, lead-lag filters, state feedback) and controller structures (feedforward and cascade control)
  • design simple controllers from given specifications
  • understand and design observers for estimating the states in state space models


Modelling and mathematical description of dynamic systems in the time and frequency domain:

Impulse response, step response, transfer function, Bode and Nyquist diagrams, state space description. Estimation of states using observers. Methods for stability analysis including the Nyquist criterion.

Control strategies:

PID controller, lead-lag design, state space feedback. Robustness of feedback systems. Specification and synthesis of control systems.

Laboratory work:

  • Computer aided design, simulation and analysis using the program package MATLAB.
  • Laboratory experiments.


Lectures, problem solving sessions and laboratory work.


Written examination at the end of the course. Passed laboratory course is also required.