LEARNING OUTCOMES

The course aim to the modelling and understanding the behaviour of dynamic systems. Both time domain and tranfer matrices methods will be used for linear and stationary systems, either for continuous time and for discrete time cases. Some on nonlinear systems will be said at the end of the course.

AIMS AND LEARNING OUTCOMES

The course aims to provide the students the necessay methods to build mathematica models fo dynamic systems. On the basis of such tools, the analysis and control of the considered systems will be carried out.

Atthe end of the course, the student will be able to model and analyze in different situations 'real systems' and determine if and how the  behaviour of such systems can be controlle din presence of different external stimuli.

PREREQUISITES

Are required basik skills in Calculus, Algebra, Elements of geometry in the space, physics, electricity.

The formal prerequisite requirements are only for the sudents in Biomedical Engineering. No formal prerequisite is required to the students in Computer Engineering

TEACHING METHODS

Front lessons with solved exercises. Depending on the pandemic situation lessons may be taught in blended modality and/or with the availability of videolessons

SYLLABUS/CONTENT

1) Preliminary definitions

2) Continuous signals

3) Laplace Transform

4) State equations of linear stationary siystems

5) Stability

6) Reachability

7) Observability

8) Input-Output characteristics

9) Systems' interconnection

10) Models and analysis of nonlinear systems

RECOMMENDED READING/BIBLIOGRAPHY

• Notes on the course: URL: TEORIA DEI SISTEM: https://dibris.aulaweb.unige.it/
• Rinaldi Piccardi: I sistemi lineari: teoria ed applicazioni. CLUP
• Bolzern, Scattolini, Schiavoni: Fondamenti di Controlli Automatici, McGraw Hill
• Collana Schaum: Regolazione Automatica
• Schaum Outlines: Feedback and Control Systems
• Antsaklis Michell: Linear Systems