Difference between revisions of "CDS 212 Fall 2010"
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'''Instructors'''  '''Instructors'''  
* John Doyle, doyle@cds.caltech.edu  * John Doyle, doyle@cds.caltech.edu  
−  * Lectures: Tu/Th, 2:304 pm,  +  * Lectures: Tu/Th, 2:304 pm, 314 Annenberg 
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'''Teaching Assistants'''  '''Teaching Assistants''' 
Revision as of 16:09, 18 September 2010
Feedback Control Theory  
Instructors

Teaching Assistants

Course Description
Introduction to modern feedback control theory with emphasis on the role of feedback in overall system analysis and design. Examples drawn from throughout engineering and science. Open versus closed loop control. Statespace methods, time and frequency domain, stability and stabilization, realization theory. Timevarying and nonlinear models. Uncertainty and robustness.
Textbook
The two primary texts for the course (available via the online bookstore) are
[DFT]  J. Doyle, B. Francis and A. Tannenbaum, Feedback Control Theory, Dover, 2009 (originally published by Macmillan, 1992). Available online at http://www.control.utoronto.ca/people/profs/francis/dft.html. 
[PD]  F. Paganini and G. Dullerud, A Course in Robust Control Theory, Springer, 2000. 
The following additional texts may be useful for some students:
[FBS]  K. J. Astrom and R. M. Murray, Feedback Systems: An Introduction for Scientists and Engineers, Princeton University Press, 2008. Available online at http://www.cds.caltech.edu/~murray/amwiki. 
Lecture Schedule
Week  Date  Trunk  Reading  Homework  Branch 
1  28 Sep 30 Sep 
Norms for signals and systems  DFT Ch 1, 2 DP Ch 3 
HW 1  
2  5 Oct+ 7 Oct 
Feedback, stability and performance  DFT Ch 3 FBS 9.19.3 FBS 11.111.2 
HW 2 

3  12 Oct+ 14 Oct+ 
Uncertainty and robustness  DFT Ch 4 FBS 12.1‑12.3 
HW 3 

4  19 Oct 21 Oct+ 
Fundamental limits  DFT Ch 6 FBS 11.4, 12.4 
HW 4 

5  26 Oct+ 28 Oct* 
Stability in state space  PD, Ch 2, 4, 5  HW 5  
6  2 Nov* 4 Nov* 
Stability via LMIs  HW 6  
7  9 Nov 11 Nov 
Nonlinear systems  FBS, Ch 4  HW 7  
8  16 Nov+ 18 Nov 
Sumofsquares  HW 8 
 
9  23 Nov+ 
 
10  30 Nov 2 Dec 
Links with nformation theory and statistical mechanics 

Grading
The ﬁnal grade will be based on homework and a ﬁnal exam:
 Homework (75%)  There will be 9 oneweek problem sets, due in class one week after they are assigned. Late homework will not be accepted without prior permission from the instructor.
 Final exam (25%)  The ﬁnal will be handed out the last day of class and is due back at the end of ﬁnals week. Open book, time limit to be decided (likely N hours over a 48N hour period).
The lowest homework score you receive will be dropped in computing your homework average. In addition, if your score on the ﬁnal is higher than the weighted average of your homework and ﬁnal, your ﬁnal will be used to determine your course grade.
Collaboration Policy
Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the TA, or the instructor. Use of solutions from previous years in the course is not allowed. All solutions that are handed should reﬂect your understanding of the subject matter at the time of writing.
No collaboration is allowed on the ﬁnal exam.