Information
schedule | Nov 5 - Dec 18
2013, Tue 14:00-15:30, Wed 14:00-15:30, A6; 24 hrs total (3 ECTS credits) THERE WILL BE NO CLASS ON NOVEMBER 19 AND NOVEMBER 20 |
office hours | Thu 14:00-16:00,
room A213, DIAG, Via Ariosto 25 |
vendittelli [at] dis [dot] uniroma1 [dot] it | |
SIOC Google Group
|
SIOC_GG (membership is restricted to the audience of the course; send an e-mail to the instructor with subject SIOC_GG to be invited) |
Audience
Students of the Master of Science in
Control Engineering (MCER) at the Dipartimento
di Ingegneria informatica, automatica e gestionale (DIAG) of the
Università di Roma "La Sapienza". Other possible students
include those of the Master in Artificial Intelligence and Robotics
(MARR).
Objective
Provide the basics on optimization
and optimal control.
Syllabus NEW
topics | reference material (see below for the list of references) |
nonlinear optimization | Lectures 1 and 2 from [5], chapters 1 and 2 in [1], chapter 1 in [4], chapter 6 in [3] |
dynamic programming | Lectures 3 and 4 from [5], chapter 3 in [3], chapter 5 [4] |
calculus of variations | Lecture 5 from [5], chapters 4 and 5 in [1], chapter 4 in [3], chapter 2 in [4] |
calculus of variations applied to optimal control | Lecture 6, 8, 9,10 from [5], chapters 6 and 7 in [1], chapter 5 in [3], chapters 3 and 4 in [4] |
Reference material
textbooks available in the DIAG library
[1] C. Bruni, G. Di Pillo,
"Metodi variazionali per il controllo ottimo", Aracne, 2007
[2] A. Locatelli, "Optimal Control: An Introduction", Birkhäuser, 2001
[3] D. E. Kirk, "Optimal Control Theory: An Introduction, New York, NY: Dover, 2004
a textbook also available for download
[4] D. Liberzon, "Calculus of Variations and Optimal Control Theory: A Concise Introduction", Princeton University Press, 2011 (also dowloadable from here)
most of the class lectures will be based on
[5] How, Jonathan. 16.323 Principles of Optimal Control, Spring 2008. (MIT OpenCourseWare: Massachusetts Institute of Technology). License: Creative Commons BY-NC-SA.
Grading NEW
Written (50%) + oral (50%) exam or homework (30%) + project (70%).
Details on projects are given in
class.