Teacher

prof. Franco BLANCHINI

Credits

6 CFU

Language

Italian

Objectives

The student should acquire notions about advanced techniques in control and modeling of systems. After this course the student should have the full background to start with any advanced course in modeling analysis and control of dynamical systems, including robotics, robust control identification and optimization.

Acquired skills

The student should reach the level adequate to performing the following tasks.

1. Modeling of simple systems (mechanical electrical thernal chemical)-
2. Analizing them via linearization in both time and rfequency domain.
3. Sinthesizing a computer based control system.

Lectures and exercises (topics and specific content)

Systems and control theory: a summary: basics of systems and control concepts from previous courses (20 hours).
Simulation: basics of system simulation using octave (20 hours).
Model identification:  elementary notion of modeling and identification least square methods (20 hours).
Robust control:  robustness in control via Lyapunov and frequency methods (20 hours).
Model predictive control:  the basic idea of model predictive control optimization and stability (20 hours).
Exercises (30 hours).
Labs (10 hours).
Tutorials/Seminars (10 hours).

References

- Lectures notes
- B.Razavi, RF Microelectronics, Prentice Hall, 1997

Type of exam

Oral and/or thesis

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