The course provides basic and advanced methodologies for the modeling, analysis and design of control systems.
Frequency domain models of Linear Systems: Laplace Transform, Transfer Functions, Block diagrams.
Time domain models of Linear Systems: State space representation.
BIBO stability.
Control specifications for transient and steady-state responses. Polynomial and sinusoidal disturbances rejection.
Digital control: Z-Transform, discretization of continuous-time linear systems, finite-time response, deadbeat response.
Analysis and control design using the eigenvalues assignment: controllability, observability, the separation principle.
Controller design using MATLAB.
Mathematical analysis
[1] K. J. Astrom, R. M. Murray, "Feedback Systems: An Introduction for Scientists and Engineers". Princeton Univ. Pr., 2nd Edition, 2021
[2] R. C. Dorf, R. H. Bishop. "Modern Control Systems". Prentice Hall, 12th Edition, 2008
[3] G. F. Franklin, J. D. Powell, A. Emami-Naeini. "Feedback control of dynamic systems". Prentice Hall, 4th Edition, 2002
[4] G. F. Franklin, J. D. Powell, M. L. Workman. "Digital Control of Dynamic Systems". Addison-Wesley, 3rd Edition, 1998
[5] K. Ogata. "Discrete-Time Control Systems". Prentice Hall, 2nd Edition, 1995
[6] A. Isidori. "Sistemi di controllo". Siderea, 1996
[7] Lectures slides