home *** CD-ROM | disk | FTP | other *** search
- Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU
- Path: sparky!uunet!gatech!paladin.american.edu!auvm!MCIMAIL.COM!0004972767
- Message-ID: <44921222031444/0004972767ND1EM@mcimail.com>
- Newsgroups: bit.listserv.csg-l
- Date: Tue, 22 Dec 1992 03:14:00 GMT
- Sender: "Control Systems Group Network (CSGnet)" <CSG-L@UIUCVMD.BITNET>
- From: Hortideas Publishing <0004972767@MCIMAIL.COM>
- Subject: Steps and such
- Lines: 44
-
- From Greg Williams (921221 - 2)
-
- >Bill Powers (921221.1500)
-
- >The PCT model is fundamentally a generative model. As such it is
- >only partly successful. It will become more successful as we
- >become able to simulate more and more complex behaviors, thus
- >showing that the structure of the model is plausible.
-
- This is the direction in which I was trying to point when I asked earlier
- today about modeling step tracking performance. Given good prediction of
- tracking with low error over most of the duration of a trial, I think the
- logical next step is to attempt prediction when error is higher over most of
- the duration of a trial. Also, because good control obscures system
- parameters, I think higher error situations will make it easier to distinguish
- among candidate models with regard to their predictive abilities, and to
- identify nonlinearities in system components.
-
- >By using a little control
- >system, the program adjusts the difficulty of a task (by varying
- >the speed with which a table of disturbance values is scanned)
- >until a specific amount of RMS tracking error is produced by the
- >participant. This amount of error is then maintained quite well
- >in a subsequent one-minute tracking task. The purpose is to
- >measure parameters of control at standard levels of tracking
- >error, and also to monitor long-term changes in tracking skill.
-
- Sounds great -- in some ways better than steps/ramps, but I suspect figuring
- out which types of nonlinearities to try in the models might be easier with
- steps/ramps. Also, be sure to look at a broad range of disturbance bandwidths,
- to make sure the "good" models aren't biased for a notch which you are
- gradually moving up the spectrum. I'll be interested to see your results.
- What's the timetable?
-
- >>Should be easy for somebody who can predict for One whole
- >>minute, right?
-
- >Yeah. When are you going to do it?
-
- I don't need to, since you already are.
-
- As ever,
-
- Greg
-