italian version

Aims :

To provide students with the techniques to deal with a descriptive approach for control system design using fuzzy sets, linguistic variables, fuzzy conditional statement, compositional rules of inference.

Topics :

- The basic issues of fuzzy logic.
- Fuzzy sets. Basic operations with fuzzy sets.
- Linguistic variables. Fuzzy conditional statements. Sup-min rule.
- Graphics and analytical methods for the compositional rule of inference.
- Inference rules for multivariable systems.
- General structure of a fuzzy logic control system.
- Applications to process control with particular reference to “gain scheduling” techniques.

Textbooks :

- Lecture notes
- Articles on relevant scientific journals.
- D.Dubois, H. Prade, “Possibility Theory- An Approach to Computerized Processing of Uncertainty”, Plenum Press, N.Y., 1980.
- M.Veronesi, A. Visioli, “Logica Fuzzy: Teoria ed Applicazioni”, Franco Angeli, Milano, 2000.
- L.A. Zadeh, “Fuzzy sets”, Information and Control, V. 8, pp.338-353, 1965.
- H. Zimmemann, “Fuzzy Sets, Decision Making and Expert Systems”, Kluwer, Boston,1987.

Exam :

The final examination consists of an oral test. Usually the student is required to discuss a case study.

Tutorial Session :

Everyday upon telephone appointment.