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- Path: sparky!uunet!think.com!ames!pasteur!roma.berkeley.edu!raja
- From: raja@roma.berkeley.edu (Raja R. Kadiyala)
- Subject: Re: Use of hysteresis in control problems
- Message-ID: <1993Jan6.173800.401@pasteur.Berkeley.EDU>
- Keywords: artificial neural networks,control
- Sender: nntp@pasteur.Berkeley.EDU (NNTP Poster)
- Nntp-Posting-Host: roma.berkeley.edu
- Organization: U.C. Berkeley -- Robotics Lab
- References: <1993Jan2.191649.874@noose.ecn.purdue.edu> <1993Jan5.200214.4270@news.acns.nwu.edu>
- Date: Wed, 6 Jan 1993 17:38:00 GMT
- Lines: 27
-
- In article <1993Jan5.200214.4270@news.acns.nwu.edu> g-yuen@nwu.edu writes:
- >
- >Some of my recent work suggest hysteresis may be a fairly common
- >features of real neurons. My colleagues often mentioned that this
- >is a useful property for some control problems, but has never
- >presented any convincing examples or arguments for its use. Can
- >someone out there in netland give me some concrete examples or
- >references to get into ?
- >
-
- The most simple example I can think of is the heating system in your
- house. The thermostat kicks the furnace on at some temperature and remains
- on until the temperature rises past the setpoint (e.g. one sets the therm.
- to 68: the furnace kicks on at 67 and stays on until the temp reaches 72).
-
- The hysteresis in this system reduces on-off chatter of the furnace. If the
- hysteresis was not in the system the furnace would constantly be
- switching on and off for short periods of time -- not very efficient.
- Hysteresis is a simple method to handle systems that have on/off actuation
- only (pretty much most furnaces).
-
- raja
- --
- Raja R. Kadiyala Teknekron Advanced Automation
- Mail is forwarded to: raja@robotics.berkeley.edu
- Office Phone: (510) 450-1023
- Lab Phone: (510) 450-1020
-