什么是模糊控制?

The purpose of control is to influence the behavior of a system by
changing an input or inputs to that system according to a rule or
set of rules that model how the system operates. The system being
controlled may be mechanical, electrical, chemical or any combination
of these.

Classic control theory uses a mathematical model to define a relationship
that transforms the desired state (requested) and observed state (measured)
of the system into an input or inputs that will alter the future state of
that system.

  reference----->0------->( SYSTEM ) -------+----------> output
                 ^                          |
                 |                          | 数据挖掘实验室
                 +--------( MODEL )<--------+feedback

The most common example of a control model is the PID (proportional-integral-
derivative) controller. This takes the output of the system and compares
it with the desired state of the system. It adjusts the input value based
on the difference between the two values according to the following
equation.
                      
      output =  A.e + B.INT(e)dt + C.de/dt

Where, A, B and C are constants, e is the error term, INT(e)dt is the
integral of the error over time and de/dt is the change in the error term.

The major drawback of this system is that it usually assumes that the system
being modelled in linear or at least behaves in some fashion that is a
monotonic function. As the complexity of the system increases it becomes


more difficult to formulate that mathematical model.

Fuzzy control replaces, in the picture above, the role of the mathematical
model and replaces it with another that is build from a number of smaller
rules that in general only describe a small section of the whole system. The
process of inference binding them together to produce the desired outputs.

That is, a fuzzy model has replaced the mathematical one. The inputs and
outputs of the system have remained unchanged.

The Sendai subway is the prototypical example application of fuzzy control.

References:

   Yager, R.R., and Zadeh, L. A., "An Introduction to Fuzzy Logic
   Applications in Intelligent Systems", Kluwer Academic Publishers, 1991.

   Dimiter Driankov, Hans Hellendoorn, and Michael Reinfrank,
   "An Introduction to Fuzzy Control", Springer-Verlag, New York, 1993.
   316 pages, ISBN 0-387-56362-8. [Discusses fuzzy control from a
   theoretical point of view as a form of nonlinear control.]

   C.J. Harris, C.G. Moore, M. Brown, "Intelligent Control, Aspects of
   Fuzzy Logic and Neural Nets", World Scientific. ISBN 981-02-1042-6.

   T. Terano, K. Asai, M. Sugeno, editors, "Applied Fuzzy Systems",
   translated by C. Ascchmann, AP Professional. ISBN 0-12-685242-1.
数据挖掘研究院

  数据挖掘工具

[数据挖掘专家] [数据挖掘研究院] [数据挖掘论坛] [数据挖掘实验室]
上一篇:模糊逻辑使用
下一篇:什么是模糊数与模糊数学?
最新评论共有 0 位网友发表了评论 , 查看所有评论
发表评论( 不能超过250字,需审核,请自觉遵守互联网相关政策法规。 )
匿名?
数据挖掘网站导航 数据挖掘论坛导航
  • 数据挖掘工具
  • 数据挖掘论坛
  • DataCruncher - Cognos
  • MineSet - MathSoft
  • Intelligent Miner - GainSmarts
  • Sqlserver - SAS - Clementine
  • CART - Weka - WizSoft
  • NeuroShell - ModelQuest
  • data mining tools - Darwin
  • 数据挖掘交友
  • 数据挖掘博客
  • 数据挖掘工具
  • 数据挖掘资源
  • 数据挖掘技术算法
  • 数据挖掘相关期刊、会议
  • 研究院联盟合作专区
  • 数据挖掘基础与相关技术
  • 数据挖掘厂商与就业
  • 数据挖掘研究者乐园
  • 知名厂商数据挖掘工具资料
  • 国内数据挖掘实验室
  • Foreign Data Mining Lab
  • 热点关注
  • 什么是模糊控制?
  • 什么是模糊数与模糊数学?
  • 粗糙集理论及其应用
  • 模糊系统介绍
  • Fuzzy Sets and Systems
  • 什么是模糊逻辑?
  • What is Fuzzy Set Theory?
  • Fuzzy Logic & Probability Theory:Clarifi
  • 粗糙集简介
  • 普大教授范剑青:“把数学作为解决社会问题
  • 论坛最新话题
  • Foundations of Statistical Natural Langu
  • Game Theory meet Data Mining: A Recent P
  • System Building: How does it help or hin
  • 数据挖掘与Clementine培训
  • 新手报到
  • 求 SASEM 客户流失预测分析
  • 数据挖掘工程师/搜索研究院—北京——无线
  • 数据挖掘入门介绍(如何着手数据挖掘)
  • Information Overload Survey Results
  • The INEX 2005 Workshop on Element Retrie
  • 相关资讯
  • Fuzzy Sets and Systems
  • Fuzzy Logic & Probability Theory:Clarifi
  • 模糊系统介绍
  • 模糊系统指南
  • What is Fuzzy Set Theory?
  • fuzzy Bibliography
  • Fuzzy BBS Systems, Mail-servers and FTP
  • Are there fuzzy state machines?
  • 模糊真值与概率值之间的关系是什么?
  • 如何决定成员值?
  • 数据挖掘实验室资料
  • 数据挖掘博客地址
  • 数据挖掘实验室网站地址
  • Prepare for Medicare audits by using dat
  • 注册成为SAS用户与爱好者俱乐部会员
  • 水南梅
  • 明日烟
  • 新人报道
  • 下载
  • 厦门服务器托管,450元/月—0592-5177319 高
  • 买空间送域名--0592-5177319 高静