= Papers to read, and other things to look at =

 * Notes on American Controls Conference 2012:  [[https://dcc.ligo.org/cgi-bin/private/DocDB/ShowDocument?docid=94047|T1200337]]

  * Summary of Things to Look Into Further

  *Book: Control of Linear Parameter-Varying Systems and Applications, ISBN 978-1- 4614-1832-0

  *MRAC method

  *Defining Lyapunov functions for a system, how to use them to prove stability and convergence

  *La Salle’s Invariance Theorem

  *Backstepping?

  *Book: Feedback Systems: An Introduction for Scientists and Engineers. With R. Murray. Princeton University Press, 2008. PDF of book is on Richard Murray’s webpage: http://www.cds.caltech.edu/~murray/amwiki/Main_Page

  *Book: The Control Systems Handbook, Second Edition: Control System Advanced Methods, Second Edition (Electrical Engineering Handbook), William Levine. ISBN-13: 978-1420073645

 *[[http://rmp.aps.org/abstract/RMP/v77/i3/p783_1|Feedback for physicists: A tutorial essay on control]] Section III.D.1 is an example of LIGO as a device under control.

 *[[http://see.stanford.edu/see/courseinfo.aspx?coll=348ca38a-3a6d-4052-937d-cb017338d7b1|CS229: Stanford Machine Learning Course]]

 *[[http://hunch.net/|Machine Learning blog]]

 *[[http://en.wikipedia.org/wiki/Machine_learning|Wikipedia entry]]

 *[[http://www.cs.utexas.edu/~mooney/cs391L/|UTexas Course on Machine Learning]]

 *[[http://select.cs.cmu.edu/|Carnegie Mellon group]]

 *[[http://www.reddit.com/r/MachineLearning/|Reddit]]

 *[[http://adsabs.harvard.edu/abs/1992ITSP...40.2377S | Comparison and extensions of control methods for narrow-band disturbance rejection]] by Lisa Sievers

 *[[http://www.nd.edu/~ieeetac/contents.html | IEEE Transactions on Automatic Control]]

 *[[http://www.journals.elsevier.com/automatica/ | Journal: Automatica]]

 *[[http://www.scholarpedia.org/article/Reinforcement_Learning | Reinforcement Learning @ Scholarpedia]]

 *[[http://xkcd.com/534/|Notes on generating cost functions]]

 *[[http://zone.ni.com/reference/en-XX/help/372357A-01/lvaftconcepts/aft_lms_algorithms/ | NI note on various LMS algos]]