CDS110 2016
This is the course homepage for Caltech's CDS 101/110, Fall 2016.
Contents
Course Staff, Hours, Location
The course meets MWF 23 pm. All lectures will take place in Annenberg 105, except for 3 days (Oct. 7, Nov. 11, Nov. 18) during which lectures will take place in 102 Steele.
Position  Name  Office  Office Hours (changing weekly)  Phone  
Instructor  Joel Burdick  245 GatesThomas  send mail for an appointment  jwb at robotics dot caltech dot edu  6263954139 
Teach Asst.  Richard Cheng  205 GatesThomas  TBD  rcheng at caltech dot edu  626395???? 
Teach Asst.  Yoke Peng Leong  230 Annenberg  TBD  ypleong at caltech dot edu  626395???? 
Administrative  Sonya Lincoln  250 GatesThomas  7:30amnoon; 1:00pm4:30pm  lincolns at caltech dot edu  6263953385 
Announcements
 NOTE: On October 7, November 11, and November 18, the course lectures will take place in 102 STEELE building.
Lecture Schedule
The following is a tentative schedule for the class, based on previous years' experience.
Date  Topic  Reading  Homework 
Week 1 26 Sept 
Introduction and Review

FBS2e, Sections 1.11.5 Optional: FBS2e, Sections 1.61.9; FBS2e 2.12.4

HomeWork 1 Due: 7 Oct, 5 pm 
Week 2 3 Oct 
Modeling and Stability

FBS2e 2.12.4, 3.1 FBS2e 3.13.2, 4.1, 5.15.3 
HomeWork 2 Due: 14 Oct, 5 pm 
Week 3 10 Oct 
Linear Systems

FBS1e 5.15.4 FBS2e 6.16.4 
Template:Cds110 fa15 pdf Due: 21 Oct, 2 pm
Template:Cds110 fa15 pdf (Caltech access only) 
Week 4 17 Oct 
State Feedback

FBS1e 6.16.4 FBS2e 7.17.4 
Template:Cds110 fa15 pdf Due: 28 Oct, 2 pm
Template:Cds110 fa15 pdf (Caltech access only) 
Week 5 24 Oct 
State space control design

FBS1e 7.17.3 FBS2e 8.18.3 
Midterm exam Due: 3 Nov, 5 pm Template:Cds110 fa15 pdf (Caltech access only) 
Week 6 1 Oct 
Transfer Functions

FBS1e 8.18.4 FBS2e 9.19.4 
Template:Cds110 fa15 pdf Due: 11 Nov, 2 pm Template:Cds110 fa15 pdf (Caltech access only) 
Week 7 7 Nov 
Loop Analysis

FBS1e 9.19.3 FBS2e 10.110.3 
Template:Cds110 fa15 pdf Due: 18 Nov, 2 pm Template:Cds110 fa15 pdf (Caltech access only) 
Week 8 14 Nov 
PID Control

FBS1e 10.110.4 FBS2e 11.111.4

Template:Cds110 fa15 pdf Due: 25 Nov, 2 pm Template:Cds110 fa15 pdf (Caltech access only) 
Week 9 21 Nov 
Loop Shaping, I

FBS1e 11.111.3 FBS2e 12.112.4 
Template:Cds110 fa15 pdf Due: 4 Dec, 2 pm Template:Cds110 fa15 pdf (Caltech access only) 
Week 10 28 Nov 
Loop Shaping II

FBS1e 11.4, 12.112.4 FBS2e 12.612.7, 13.113.3 
Final exam Due 5 pm on last day of Final Exam Period

Course Syllabus, Mechanics, and Grading
CDS 101/110 provides an introduction to feedback and control in physical, biological, engineering, and information sciences. The course will introduce students to the basic principles of feedback and its use as a tool for altering the dynamics of systems, meeting systems specifications, and managing system uncertainty. Key themes include: linear system theory input/output response, closed loop behavior, linear versus nonlinear models, and local versus global behavior.
CDS 101 is a 6 unit (204) class intended for science and engineering students who are interested in the principles and tools of feedback control, but not necessarily the engineering and 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 working knowledge of linear algebra and ODEs as a prerequisite (e.g., as found in ACM 95). Familiarity with complex variables (Laplace transforms, residue theory) is helpful but not required. The basics of these topics will be reviewed during the course.
Course Text and References
The primary course text is
 K. J. Astrom and Richard M. Murray, 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 companion web site. Note that we will be using the second edition of this book, which is in a besttest preparation for publication. The reading assignments and problem numbers are based on this version of the book.
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.
 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.
Grading
The final grade will be based on homework sets, a midterm exam, and a final exam:
 Homework (60%): Homework sets will be handed out on an approximately weekly schedule. Problem sets are due at 5:00 pm. They can be handed in during class period, or in a box outside the office of Sonya Lincoln (250 GatesThomas). Each student is allowed up to automatic two extensions of 2 day each over the course of the term. MATLAB/Python code and SIMULINK/Modelica diagrams are considered part of your solution and should be printed and turned in with the problem set.
 Midterm exam (10%): A midterm exam will be handed out at the beginning of midterms period (26 Oct) and due at the end of the midterm examination period (1 Nov). The midterm exam will be open book and computers will be allowed (though not necessarily required).
 Final exam (30%): The final exam will be available at the beginning of the finals period, and due at the end of finals week. It will be an open book exam and computers will be allowed.
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.