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非线性函数的模糊推理模式化
引用本文:韩生廉.非线性函数的模糊推理模式化[J].同济大学学报(自然科学版),1996,24(3):318-323.
作者姓名:韩生廉
作者单位:同济大学电气工程系
基金项目:国家教委留学回国人员科研基金
摘    要:模糊控制-模糊决策是模糊理论应用中最先得到实践成果、最为活跃的研究领域之一.当前,所谓“模糊控制技术的高度化”,即探索模糊模式化(FuzzyModeling)与模糊控制-模糊决策(FuzzyCon-trol—FuzzyMaking)的融合,是智能理论与应用领域中急待解决的研究课题之一.众所周知,现实生活中人们要施加控制的系统,大多数的输入输出关系、人们要作决策的目标和约束条件的关系是不明了的,是无法用精确的数学模型来描述的非线性函数.为了实现模糊模式化与模糊控制的融合,首先要解决的课题就是如何把非线性函数模式化,进而实现非线性系统的模糊控制以及模糊环境下的最优决策.提出了基于决策目的的用模糊推理把非线性函数模式化的方法.

关 键 词:自动控制  非线性函数  模糊控制

Nonlinear Function Modeling on Fuzzy Decision
Han Shenglian.Nonlinear Function Modeling on Fuzzy Decision[J].Journal of Tongji University(Natural Science),1996,24(3):318-323.
Authors:Han Shenglian
Abstract:Fuzzy control and fuzzy decision are the most active areas of fuzzy theory and application, having been successfully applied in practice.Improvement of fuzzy technology, which researches for integration among fuzzy modeling,fuzzy control and fuzzy decision, is a problem to be resolved in intellectual theory and application. It's well-known that most of the control systems in real life are nonlinear, whose relations between input and output,as well as relations between objective and constraint are not explicit and can't be described in precise mathematical models.In order to achieve integration be.tWeen fuzzy modeling and model control,the first step is to model nonlinear function,then realize fuzzy control and fuzzy decision under fuzzy environment.
Keywords:Nonlinear function  Fuzzy modeling  Fuzzy control  Fuzzy making  Integration  
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