Difference between revisions of "CDS 101/110, Fall 2015"
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=== Course Text and References ===  === Course Text and References ===  
−  The primary course text is [[AM:Main Page''Feedback Systems: An Introduction for Scientists and Engineers'']]  +  The primary course text is 
+  * K. J. Astrom and Richard M. Murray, [[AM:Main Page''Feedback Systems: An Introduction for Scientists and Engineers'']], ''Princeton University Press'', 2008  
+  This book is available via the Caltech online bookstore or via download from the [http://fbsbook.org companion web site]. The following additional references may also be useful:  
* A. D. Lewis, ''A Mathematical Approach to Classical Control'', 2003. [http://www.mast.queensu.ca/~andrew/teaching/math332/notes.shtml Online access].  * A. D. Lewis, ''A Mathematical Approach to Classical Control'', 2003. [http://www.mast.queensu.ca/~andrew/teaching/math332/notes.shtml Online access]. 
Revision as of 22:00, 27 September 2015
Introduction to Control Systems  
Instructors

Teaching Assistants

This is the course homepage for CDS 101/110, Fall 2015.
Course Syllabus
CDS 101/110 provides an introduction to feedback and control in physical, biological, engineering, and information sciences. Basic principles of feedback and its use as a tool for altering the dynamics of systems and managing uncertainty. Key themes throughout the course will include input/output response, modeling and model reduction, linear versus nonlinear models, and local versus global behavior.
CDS 101 is a 6 unit (204) class intended for advanced students in science and engineering who are interested in the principles and tools of feedback control, but not the analytical techniques for design and synthesis of control systems. CDS 110 is a 12 unit class (309) that provides a traditional first course in control for engineers and applied scientists. It assumes a stronger mathematical background, including working knowledge of linear algebra and ODEs. Familiarity with complex variables (Laplace transforms, residue theory) is helpful but not required.
Lecture Schedule
Date  Topic  Reading  Homework 
Week 1 28 Sep 
Introduction and Review

FBS1e 1.11.2, 1.41.5 FBS2e 1.11.5 (skim), 2.12.4 
HW 1 (PDF) Due: 5 Oct 
Week 2 5 Oct 
Modeling, Stability

FBS1e 2.12.2, 4.14.3 FBS2e 3.13.2, 5.15.3 
HW 2 Due: 12 Oct 
Week 3 12 Oct* 
Linear Systems

FBS1e 5.15.4 FBS2e 6.16.4 
HW 3 Due: 19 Oct 
Week 4 19 Oct 
State Feedback

FBS1e 6.16.4 FBS2e 7.17.4 
HW 4 Due: 26 Oct 
Week 5 26 Oct 
Output Feedback

FBS1e 7.17.3 FBS2e 8.18.3 
Midterm exam Due: 3 Nov 
Week 6 2 Nov 
Transfer Functions

FBS1e 8.18.4 FBS2e 9.19.4 
HW 5 Due: 9 Nov 
Week 7 9 Nov 
Loop Analysis

FBS1e 9.19.3 FBS2e 10.110.3 
HW 6 Due: 16 Nov 
Week 8 16 Nov 
PID Control

FBS1e 10.110.4 FBS2e 11.111.4 
HW 7 Due: 23 Nov 
Week 9 23 Nov 
Loop Shaping, I

FBS1e 11.111.3 FBS2e 12.112.4 
HW 8 Due: 30 Nov 
Week 10 30 Nov 
Loop Shaping II

FBS1e 11.4, 12.112.4 FBS2e 12.612.7, 13.113.3 
Final exam Due 11 Dec 
Grading
The final grade will be based on homework sets, a midterm exam, and a final exam:
 Homework (50%): Homework sets will be handed out weekly and due on Wednesdays by 2 pm either in class or in the labeled box across from 107 Steele Lab. Each student is allowed up to two extensions of no more than 2 days each over the course of the term. Homework turned in after Friday at 2 pm or after the two extensions are exhausted will not be accepted without a note from the health center or the Dean. MATLAB/Python code and SIMULINK/Modelica diagrams are considered part of your solution and should be printed and turned in with the problem set (whether the problem asks for it or not).
 Midterm exam (20%): A midterm exam will be handed out at the beginning of midterms period (28 Oct) and due at the end of the midterm examination period (3 Nov). The midterm exam will be open book and computers will be allowed (though not required).
 Final exam (30%): The final exam will be handed out on the last day of class (4 Dec) and due at the end of finals week. It will be an open book exam and computers will be allowed (though not required).
Collaboration Policy
Collaboration on homework assignments is encouraged. You may consult outside reference materials, other students, the TA, or the instructor, but you cannot consult homework solutions from prior years and you must cite any use of material from outside references. All solutions that are handed in should be written up individually and should reflect your own understanding of the subject matter at the time of writing. MATLAB/Python scripts and plots are considered part of your writeup and should be done individually (you can share ideas, but not code).
No collaboration is allowed on the midterm or final exams.
Course Text and References
The primary course text is
 K. J. Astrom and Richard M. Murray,, Princeton University Press, 2008
This book is available via the Caltech online bookstore or via download from the companion web site. The following additional references may also be useful:
 A. D. Lewis, A Mathematical Approach to Classical Control, 2003. Online access.
 J. Distefano III, A. R. Stubberud and Ivan J. Williams (Author), Schaum's Outline of Feedback and Control Systems, 2nd Edition, 2013.
In addition to the books above, the textbooks below may also be useful. They are available in the library (nonreserve), from other students, or you can order them online.
 B. Friedland, Control System Design: An Introduction to StateSpace Methods, McGrawHill, 1986.
 G. F. Franklin, J. D. Powell, and A. EmamiNaeni, Feedback Control of Dynamic Systems, AddisonWesley, 2002.