Difference between revisions of "CDS110 2016"

Revision as of 23:40, 12 October 2016

This is the course homepage for Caltech's CDS 101/110, Fall 2016.

Course Staff, Hours, Location

The course meets MWF 2-3 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.

Announcements

• NOTE: On October 7, November 11, and November 18, the course lectures will take place in 102 STEELE building.
• OFFICE HOUR: On October 6, the office hour will be held at Annenberg 106. Office hour will be held at Annenberg 107 for the rest of the term.

Lecture Schedule

The following is a tentative schedule for the class, based on previous years' experience.

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 (2-0-4) 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 (3-0-9) 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 best-test 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 State-Space Methods, McGraw-Hill, 1986.
• G. F. Franklin, J. D. Powell, and A. Emami-Naeni, Feedback Control of Dynamic Systems, Addison-Wesley, 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 Gates-Thomas). 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.