Frontiers in Networked Control
[Instructor]
[Announcements]
[Schedule]
[Description]
Instructor
Michael Rotkowitz
Email:
FIRSTNAME.rotkowitz@ee.kth.se
Phone:
08-790-8778
Office:
Osquldas väg 10, Level 6, Room A:613
Homepage:
http://www.ee.kth.se/~mcrotk
Announcements
- [2006.05.27] Speakers, scribes, dates, and topics have been
updated. Please inform me of any problems.
- [2006.05.27] The style file and
template for the lecture notes may
now be downloaded here.
- [2006.02.16] The first class will meet on March 1, at the room and
time indicated below. If you're considering taking the course, but
can't make the first one, please send me an email.
Schedule
- Date: March 1
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Michael Rotkowitz
Topic: Course overview
- Date: March 8
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Michael Rotkowitz
Scribe: Elin Hallander
Topic: A simple but intractable example
Lecture notes
References:
- H.S. Witsenhausen,
A Counterexample in Stochastic Optimum Control,
SIAM Journal of Control, vol. 6, no. 1, pp. 131-147, 1968
-
S. Mitter and A. Sahai,
Information and control: Witsenhausen revisited,
Lecture Notes in Control and Information Sciences,
241, Springer, 1998
- R. Bansal and T. Başar,
Stochastic teams with nonclassical information revisited: When is an affine law optimal?,
IEEE Transactions on Automatic Control, vol. 32, no. 6, pp. 554-559, June 1987
- H.S. Witsenhausen,
Separation of Estimation and Control for Discrete Time Systems,
Proceedings of the IEEE, vol. 59, no. 11, pp. 1557-1566, November 1971
- J.T. Lee, E. Lau, and Y.-C. Ho,
The Witsenhausen Counterexample: A Hierarchical Search Approach for
Nonconvex Optimization Problems,
IEEE Transactions on Automatic Control, vol. 46, no. 3, pp. 382-397,
March 2001
- Date: March 15
Time: 14:00
Room: S3 Seminar Room, Floor 5
Speaker: Michael Rotkowitz
Scribe: None
Topic: Conditions for tractability
References:
- M. Rotkowitz and S. Lall,
A Characterization of Convex Problems in Decentralized Control,
IEEE Transactions on Automatic Control, vol. 51, no. 2, pp. 274-286, February 2006
- Y.-C. Ho and K.C. Chu,
Team Decision Theory and Information Structures in Optimal Control
Problems - Part I,
IEEE Transactions on Automatic Control, vol. 17, no. 1, pp. 15-22,
January 1972
- Date: April 19
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Jens Pettersson
Scribe: David Anisi
Topic: Receding horizon control
Lecture notes
- Date: April 26
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Elin Hallander
Scribe: Tove Gustavi
Topic: Overlapping control
Lecture notes
References:
- Date: May 3
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Alberto Speranzon
Scribe: Magnus Lindhé
Topic: LMI synthesis of stabilizing controllers
Lecture notes
- Date: May 10
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Magnus Lindhé
Scribe: Alberto Speranzon
Topic: Tools from graph theory
Lecture notes
- Date: May 24
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: David Anisi
Scribe: Maja Karasalo
Topic: Consensus problems
Lecture notes
References:
- Date: June 7
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Tove Gustavi
Scribe: Michael Rotkowitz
Topic: Probability collectives
Lecture notes
References:
- S. Bieniawski, D.H. Wolpert, and I. Kroo,
Discrete, Continuous, and Constrained Optimization Using Collectives,
AIAA Paper 2004-4580, Presented at the 10th AIAA/ISSMO
Multidisciplinary Analysis and Optimization Conference,
Albany, NY, August 30-September 1, 2004
- Date: June 8
Time: 14:30
Room: S3 Seminar Room, Floor 3
Speaker: Yohei Kuroiwa
Scribe: Jens Pettersson
Topic: Spatial invariance
Lecture notes
References:
- Date: June 21
Time: 14:00
Room: S3 Seminar Room, Floor 3
Speaker: Maja Karasalo
Scribe: Yohei Kuroiwa
Topic: Market-based control
Lecture notes
Description
Conventional controls analysis assumes that the controllers to be
designed all have access to the same measurements. With the advent of
complex systems, decentralized control has become increasingly
important, where one has multiple controllers each with access to
different information. Examples of such systems include flocks of
aerial vehicles, autonomous automobiles on the freeway, the internet,
the power distribution grid, spacecraft moving in formation, and paper
machining. Conventional methods of analysis and synthesis break down
for a decentralized system.
This course will survey different methods of attacking the
general difficulty of decentralized control problems. Each week, we
will review one paper, or a set of related papers, from the recent
literature. Each student will present the lecture once, and will be
able to choose a topic of particular interest to them. There will be
a list of suggested topics / papers, but others may be selected if
they fit with the theme of the course and represent a fundamentally
different approach from the other topics.
The course will be available for 2 or 4 credits. The requirements for
the first two credits are presenting one lecture (primarily on the
whiteboard), writing up (in LaTeX) the lecture notes for someone
else’s lecture, and regular attendance. Two additional credits may
then be earned for completing a course project.
Please forward this to anyone who may be interested who I may have
missed. While the focus will be on control under imperfect
information, several of the topics apply to difficult optimization
problems much more generally, and so it could be of interest to a
broader audience. Of course, let me know if you have any questions.
2006.08.13