Teaching code

4S02785

Credits

6

Coordinator

Bogdan Mihai Maris

Language

Italian

Scientific Disciplinary Sector (SSD)

ING-INF/04 - SYSTEMS AND CONTROL ENGINEERING

Moodle Seminars 0

The teaching is organized as follows:

Learning outcomes

The course objective is to give students the mathematical tools required for the analysis and modeling of linear, time-invariant (LTI) systems, and of the input/output signals to an LTI system. The model will allow students to study the main system properties and to address the general concepts of controller and filters to perform simple control actions on the dynamic system and filter operations on the input/output signals. The mathematical tools will be based on analysis methods in the time domain, as well as of the complex variables s, z and the frequency of the input/output signals. Analysis and synthesis will be carried out both for continuous and discrete time systems and signals. The theoretical concepts acquired during the course will be consolidated with exercise sessions addressing the solution of basic problems with analytical approach and with numerical simulations.

Program

1. Review: complex numbers, functions of complex variables, series of complex powers, convergence, Euler's formula
2. Distributions: impulse, step, ramp. Sampling and reproducibility. Sinusoidal exponential functions, time translation. Discrete signals
3. Continuous time systems. Causal LTI systems. Stability.
4. Characteristic equation of a system, elementary modes, convergence.
5. Convolution, impulsive response, forced response, BIBO stability, asymptotic stability
6. Frequency response
7. The Laplace transform. Convergence region. Properties
8. Free response and forced response in the complex plane, transfer function, zeros and poles, stability.
9. The Laplace's antitrasform, poles, residues.
10. The Fourier series for periodic signals. Frequency, pulsation, linear combination of periodic signals, synthesis equation, analysis equation. The energy and power of a signal, the discrete spectrum.
11. The Fourier transform. Conditions of existence, discontinuities.
12. Convolution and modulation. Spectrum.
13. Fourier trasform of the ideal sampling train, replication and sampling, reconstruction filters, Nyquist frequency, Shannon forumula.
14. Bode diagrams
15. Block diagrams
16. Discrete-time LTI systems. ARMA model. Impulsive response, forced response.
16. z trasform. Properties
17. The antitransformed z. Frequency response. Discrete Fourier transform

The students can integrate the reference books ('Segnali e Sistemi' by M.E. Valcher and 'Regolazione Automatica' by Di Stefano et al. for the laboratory part) with the free text at the link:
https://ptolemy.berkeley.edu/books/leevaraiya/

On moodle e-learning website there is the complete material of both theory and exercises. There will be also a laboratory part that consists in Matlab-Simulink implementation.

Office hours: after class

Bibliography

Examination Methods

The exam is written and oral. Only those who pass the written exam may access the oral examination.