Search    Print

Progettazione dei Sistemi di Controllo
Control System Design
David Scaradozzi

Seat Ingegneria
A.A. 2015/2016
Credits 9
Hours 72
Period I
Language ENG

Prerequisites
The student is required to be familiar with the basic elements of Systems Theory, Control Theory, Probability theory, Linear Algebra; Math Analysis; Physics.

Learning outcomes
The aim of the course is to present a series of problems of automatic control engineering interest considering operating conditions more general than those considered in a basic course.

Program
- Elements of probability theory and stochastic processes. - Minimum variance estimate. Orthogonal projection Lemma - Kalman filter. Optimal smoothers and predictors. - Dynamic programming equations. LQ and LQG control problems. - Optimal stabilization and tracking over finite and infinite time intervals. - Minimum variance control of industrial processes- - Adaptive control

Development of the examination
LEARNING EVALUATION METHODS
The final examination consists of an oral test. Usually, the first question concerns the discussion of a case study

LEARNING EVALUATION CRITERIA
Knowledge assessment of a number of topics of the course.

LEARNING MEASUREMENT CRITERIA
Measurement of the mastery of at least two of the course topics.

FINAL MARK ALLOCATION CRITERIA
Average between the two discussed arguments.

Recommended reading
- Lecture notes, -B.D.O.Anderson, J.B. Moore,”Optimal Control, Linear Quadratic Methods”, Prentice-Hall, Englewood Cliffs, 1989 -R. Isermann: “Digital Control Systems”, Vol 1 e 2, Springer Verlag, Berlino,1989.-- A. Jazwinski, “Stochastic Processes and F

Courses

• Ingegneria Informatica e dell'Automazione (Corso di Laurea Magistrale (DM 270/04))