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cell mapping
相关语句
  穴映射
    Identification of Multivariable Fuzzy Systems Through Fuzzy Cell Mapping
    基于模糊穴映射的多变量模糊系统辨识
短句来源
    Fuzzy Cell Mapping Based Methodology for Dealing with Complex Fuzzy Systems
    处理复杂模糊系统的模糊穴映射方法
短句来源
    This paper puts forward a new multivariable fuzzy system model using fuzzy cell mapping approachfor effectively dealing with complex multivariable systems-generalized fuzzy basis function series basedmodel.
    利用模糊穴映射理论,提出一种有效描述复杂多变量系统的模糊模型——广义模糊基函数展开式。
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  cell mapping
The cell mapping method is applied with this coupled system.
      
An atmosphere-land coupled simple climate model is constructed and its climatic properties are analyzed by introducing a global analysis method, cell mapping.
      
Generalized cell mapping, a global analysis method, is introduced to describe the global long-term behavior of the chaotic climate system, and to predict its global probability evolution.
      
This technique overcomes the problem of determining an appropriate duration of the integration time for the simple cell mapping method and provides a suitable mapping for the search procedures.
      
Second, adjoining cell mapping (ACM), based on an adaptive time of integration (Refs.
      
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After the introduction of the concepts of the fuzzy partition of variable apace and that of the fuzzy cells, the fuzzy cell - to - cell mapping based model structure FCM- I for multivariable fuzzy systems is proposed in this paper. And then the identification and optimization algorithm of FCM- I model are given in detail. With FCM- I , the complexity of using fuzzy relational equation in modelling multivariable systems is greatly reduced. The applications of FCM- I to the real-world problems have proved...

After the introduction of the concepts of the fuzzy partition of variable apace and that of the fuzzy cells, the fuzzy cell - to - cell mapping based model structure FCM- I for multivariable fuzzy systems is proposed in this paper. And then the identification and optimization algorithm of FCM- I model are given in detail. With FCM- I , the complexity of using fuzzy relational equation in modelling multivariable systems is greatly reduced. The applications of FCM- I to the real-world problems have proved the feasibility of the proposed approach.

本文在引入变量空间模糊划分及模糊穴的概念基础上,提出了基于模糊穴—穴映射的多变量模糊系统模型结构 FCM—I,并且详细地给出了 FCM—I 模型的辨识及优化方法。FCM—I 大大简化了用模糊关系方程为多变量系统建模的复杂性。实际的应用证明了本文提出方法的有效性。

After the introduction of the concepts of the fuzzy cell and fuzzy cell space,thefuzzy cell mapping based methodology for dealing with complex systems is outlined with the emphasis on the modelling, ide n ti flea t ion and con t rol. The proposed pa radigm opens a ne w way toefficiently cope with multivariable fuzzy systems and also a way to handel fuzzy systems withthe existing well-developed conventional theories. Its feasibility has been proved by the realworld applications.

在对模糊穴和模糊穴空间等基本概念作一简单介绍之后,本文着重从模糊多变量系统的建模,辨识和控制等方面出发概述了基于模糊穴映射的理论和方法.本文的方法为有效地处理多变量模糊系统和利用已有的传统方法来解模糊系统问题开辟了一条新的途径.本文建立的方法的有效性已被实际的应用所证明.

A method of automatically extracting and optimizing fuzy rule base is presented. Firstly, it applies the method of CCM (Cell-to-Cell Mapping) to analyze the evolving trend and global behavior of the closed-loop fuzzy dynamical system based on a cell state space. Secondly, each rule base is evaluated to determine a performance index according to the control objective. Thirdly, GA (Genetic Algorithm) updates the old population of coded rule bases using the performance index of each rule base...

A method of automatically extracting and optimizing fuzy rule base is presented. Firstly, it applies the method of CCM (Cell-to-Cell Mapping) to analyze the evolving trend and global behavior of the closed-loop fuzzy dynamical system based on a cell state space. Secondly, each rule base is evaluated to determine a performance index according to the control objective. Thirdly, GA (Genetic Algorithm) updates the old population of coded rule bases using the performance index of each rule base generation by generation. A complicated nonlinear system-an inverted pendulum is simulated to illustrate the details of the algorithm and the results demonstrate the validity of the method.

本文提出了一种自动提取模糊規则集的新方法。本方法首先利用CCM分析闭环模糊系统在某一规则集控制下的全局动态行为,根据控制目标对该规则集进行评价得其性能指标。然后利用GA根据这个性能指标对规则集进行逐代更新和优化,最后得到一个满足要求的规则集。本文以复杂非线性系统——倒摆系统为例,介绍用本文的方法提取模糊规则的具体过程,仿真结果表明了本方法的有效性和通用性。

 
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