Automatic Control Advanced Course

7.5 credits

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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.

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Roughly 15 minutes with a bike from the city centre, you will find Linnaeus University’s campus. It is like a small society with the university, student accommodation, and student life. Here you become part of a creative knowledge environment.

What will you come across on an excursion in Växjö – the city of contrasts? You will find good restaurants, a celebrated hockey team, and cozy cafés where you can enjoy a latte with lingonberry flavour. In Växjö, beautiful nature is always just around the corner; the city is surrounded by lakes and forests. Students like the combination of the city centre and the active student life on campus. Your dream of the future starts here!

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