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Il sito è in fase di aggiornamento. Ci scusiamo per eventuali disagi.
To learn the main techniques of Robust Control Theory and Optimal Control.
Moreover another of the task is to focalize the subject to the control of complex
systems.
Advanced matrix computation techniques are a further learning topics as the
advanced use of the Matlab tool.
The knowledge of System Theory methods, signal processing techniques, linear algebra and its applications, advanced calcolous.
Moreover the studends have to be expert of low level control techiques.
Electrical circuit knowledge is essential.
The frequency is higly recommended.
Lyapunov Theory for linear Systems.
Robust Control Tecnique Analysis.
Representation of MIMO systems in Balanced forms.
LQR optimal control Theory.
H infinite Theory.
LMI methods.
Application in large scale systems
1) L.Fortuna M. Frasca - Optimal and Robust Control -CRC Press 2012.
2) L. Fortuna G. Muscato P. Dorato - Robust Control an Introduction - Springer 1990.
3) S. Boyd et alii - Linear Matrix Inequalities -Siam PA 1994
* | Argomenti | Riferimenti testi | |
---|---|---|---|
1 | * | Basic Principles of system Theory, Automatic Control and Electronic Circuits |
The examination will include the solutions of more exercises and the discussion of tre topics of the programme.
One exercise will test the basic knowledge of the student.
1) Given a system in frequency representatio or is state space form explain the main characteristic of it.
2) Design the observer for a given linear time invarian system.
3) Compute the H infinite norm of a system.
4) Design an optimal controller for a given system.
4) Youla parameterization.
5) The student is invited to use Matlab.