Automatic Control Advanced Course

7.5 credits

Part 1 Analysis and synthesis based on state space models

• State space models of linear systems. State feedback control and feedback from reconstructed states. Controllability and observability and their relations to state feedback control and feedback from reconstructed states.

• Sampling of linear systems

• Optimal control of linear system, especially the method based on minimization of a quadratic criterion is treated.

Part 2 Analysis of non linear control systems

• A number of stability concepts. Linearization of a system. Phase plane analysis.

• Prediction of the amplitude and frequency of stable periodic solutions using the describing function method.

• Using Lyapunov functions to prove stability of a system. Lyapunov's linearization method.

• Introduktion to the theory of input-output stability, the circle criterion.

Part 3 Laboratory work

• Control of a physical process. State estimation based on data from a physical process.

• Simulation of dynamical systems using programs as Matlab/Simulink, Dymola or 20-sim.

Course Coordinator


Linnaeus University’s campus is located roughly 15 minutes with bicycle from the city centre. Campus is like a small society in its own right, with the university, student accommodation and student life all in one place. Everything happens on campus – here you become part of a creative knowledge environment and an eventful student life.

What will you find when exploring Växjö? There is a great selection of restaurants and cosy cafés. There is a large lake in the city centre, beautiful nature is always nearby. Many students enjoy the combination of the city centre in Växjö and life on campus. This is where your dream of the future begins!