搜索资源列表
chap4
- 水箱液位模糊控制仿真和sugeno模糊控制仿真程序-Tank level fuzzy control method and fuzzy control simulation program sugeno
3_9
- 使用模糊控制来实现单级倒立摆的控制仿真。使用了sugeno 模型来完成-The use of fuzzy control to achieve a single-stage inverted pendulum control simulation. Sugeno model used to complete the
lm_ts
- For training Takagi-Sugeno fuzzy systems using the Levenberg-Marquardt method
mohukongzhi
- 本人模糊控制的课堂作业，基于Sugeno（TSK）推理的模糊控制器-I am working class of fuzzy control, based on Sugeno (TSK) inference of the fuzzy controller
Sugeno-TSK
- 本人的模糊控制课堂作业，基于Sugeno（TSK）推理的模糊控制器-Fuzzy control of my class assignments, based on Sugeno (TSK) inference of the fuzzy controller
invertedpendulum
- 在倒立摆摆角及摆速很小的时候，实现基于sugeno模型的倒立摆模糊控制-Monotonously in inverted pendulum angle and velocity very young to realize sugeno Model Based Fuzzy Control of Inverted Pendulum
sugenotune
- Sugeno-type FIS output tuning
chap4_9
- Sugeno模糊模型的倒立摆控制单链路 -Sugeno fuzzy model of the single-link inverted pendulum control
yasukawa
- Sugeno Yasukawa fuzzy modeling controller with predefined sinusoidal function
takag_sugeno
- Takagi sugeno fuzzy modelling conroller with predefined sinusoidal function
FCM-sugeno
- fuzzy logic program for sugeno
rls_lip_ts
- Takagi-Sugeno Fuzzy System by Recursive Least Square online method-Takagi-Sugeno Fuzzy System by Recursive Least Square online method
bls_lip_ts
- training Takagi-Sugeno fuzzy systems using batch least squares
lm_ts
- training Takagi-Sugeno fuzzy systems using the Levenberg-Marquardt method
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
fuzzy-controller
- The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHA
5-Fuzzy-TSK-Matlab
- Takagi-Sugeno fuzzy models are based on the concept of fuzzy coding of information and operating with fuzzy sets instead of numbers
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 modeling is applied to a non
sugeno
- souce code for matlab wich used sugeno algoritm