搜索资源列表
anfists
- 使用anfists的sugeno-type对混沌时间序列预测。-the use anfists Sugeno-type of chaotic time series prediction.
AdaptiveFuzzyControlSystem
- ：运用动力学原理建立了小车-倒摆的仿真模型, 并以对象输入输出的测试数据为依据，讨 论了Takagi-Sugeno 模糊模型的参数辨识，提出了模糊逆模型控制方案，基于此借助Matlab 的 Simulink 设计了小车-倒摆的动态模型及其模糊自适应控制系统。仿真结果证明了本文采用的控制 策略的有效性。
chap09
- 屬於SUGENO模糊模型可以藉由類神經網路架構來替代
fuzzy
- The neuro-fuzzy software for identification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a tr
FHSVD
- HankelToeplitz and Takagi Factorization Package
Takagi-Sugeno-fuzzymodel
- The fuzzy inference process discussed so far is Mamdani s fuzzy inference method, the most common methodology. This section discusses the so-called Sugeno, or Takagi-Sugeno-Kang, method of fuzzy inference. Introduced in
yasukawa
- Sugeno Yasukawa fuzzy modeling controller with predefined sinusoidal function
takag_sugeno
- Takagi sugeno fuzzy modelling conroller with predefined sinusoidal function
Zeft-Lung-Cancer
- zeft lung cancer is fuzzy system example which determine zeft lung cancer risk with smoking habits .. we use sugeno model for defuzzification
sugeno-fuzzy-logic-system
- fuzzy system to do a health detection based on eating and sports, defuzzification is using sugeno model
FCM-sugeno
- fuzzy logic program for sugeno
rls_lip_ts
- Sugeno source code evaluation
Temperature-and-humidity-control-in-greenhouses-u
- Temperature and humidity control in greenhouses using the Takagi-Sugeno fuzzy model pdf document
sugenotunewewe
- Sugeno-type FIS output tuning
Sugeno-fuzzy-controller
- Sugeno控制仿真模型源程序，该程序对Sugeno模糊控制进行的仿真，其中包含基本的源程序，便于学习-Sugeno control simulation model of the source, the program on Sugeno fuzzy control simulation, which contains the basic source code, easy to learn
sugeno
- sugeno fuzzy logic source mfile for prediction parameters
Takagi-Sugeno-Fuzzy-Logic-tutorial
- Takagi Sugeno Fuzzy Logic Tutorial that can help you learn.
boilier identification using Takagi Sugeno
- This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of
sugeno
- souce code for matlab wich used sugeno algoritm