Difference between revisions of "Is there room for learning in control systems theory?"
From Murray Wiki
Jump to navigationJump to search
| Line 3: | Line 3: | ||
I'll try to post a reference on learning in the next few days. | I'll try to post a reference on learning in the next few days. | ||
--[[User:Fuller|Fuller]] 00:21, 2 October 2007 (PDT) | --[[User:Fuller|Sawyer Fuller]] 00:21, 2 October 2007 (PDT) | ||
[[Category: CDS 101/110 FAQ - Lecture 1-1]] | [[Category: CDS 101/110 FAQ - Lecture 1-1]] | ||
[[Category: CDS 101/110 FAQ - Lecture 1-1, Fall 2007]] | [[Category: CDS 101/110 FAQ - Lecture 1-1, Fall 2007]] | ||
Revision as of 07:33, 2 October 2007
In the "sensing," "computation," and "actuation" blocks of a control system, learning happens in the computation block. Broadly speaking learning involves techniques for exploring the parameter space and measuring the system's performance relative to a set of criteria. For example, one might use a learning controller to optimize the gains in a PID controller (proportional-integral-derivative, this is a standard controller type we'll learn more about later in the course). We won't be covering machine learning in this course, but it is an interesting area in controls.
I'll try to post a reference on learning in the next few days.
--Sawyer Fuller 00:21, 2 October 2007 (PDT)
