Description: 熟悉三角形模糊数、中心及隶属函数表达式的概念。了解特征映射算法及统计中的 统计量的概念。利用聚类迭代算法建立 个三角形形式的隶属函数
-Familiar with the triangular fuzzy number, membership function centers and the concept of expression. Understand the feature mapping algorithm and statistics of the concept of statistics. Iterative use of clustering algorithms to establish a triangular form of membership function Platform: |
Size: 1024 |
Author:David |
Hits:
Description: 倒立摆模型的局部线性化
设倒立摆的摆角范围为[-15,15]度，摆角角速度范围为[-200,200]度/秒，摆角角加速度范围为[-200,200]度/秒2，采用三角形隶属函数对摆角和摆角角速度进行模糊化，摆角初始状态为[0.2,0]。-Inverted pendulum model of the local linear-based inverted pendulum swinging angle of the range of [-15,15] degrees angle angular range of [-200,200] degrees/sec, angular acceleration angle range of [-200,200] degrees/sec 2, the use of triangular membership function of the pendulum angle and angular velocity fuzzy angles, and angles for the initial state [0.2,0]. Platform: |
Size: 1024 |
Author:00 |
Hits:
Description: this also another triangular membership function for fuzzy logic controlling-this is also another triangular membership function for fuzzy logic controlling Platform: |
Size: 2048 |
Author:who |
Hits:
Description: This paper investigates the effect of membership functions in the fuzzy control of a chopper fed dc drive.
A Sugeno type fuzzy controller for closed loop control of dc drive fed by buck type dc-to-dc converter is
designed and considered for evaluation. The controller is used to change the duty cycle of the converter
and thereby, the voltage fed to the armature of the separately excited dc motor to regulate the speed.
Sugeno type fuzzy controller is selected for evaluation, as it is easy to implement in any embedded microcontroller
or DSP processor. The membership functions selected for evaluation are triangular, trapezoidal,
Gaussian, bell shaped and PI functions. Above evaluation is done considering both five and seven linguistic
sets for error and change in error. The results of the simulated performances are compared. The triangular
membership function shows better performance compared to other membership functions Platform: |
Size: 5462016 |
Author:Kandiban Rajendran |
Hits:
Description: This package is only for optimization of the scaling factors.
It is assumed that the 5 triangular membership functions equally distributed with 25 rules.
This may not be the best way to construct the Fuzzy Logic Controller (FLC),
because the FLC is reconstructed at every simulation run and hence it may be much slower than a fixed FLC structure.
However, here we are able to optimize not only the input-output scaling factors, but also the the input/output membership function distribution and the rule-base.
Three sets of files will be uploaded eventually:
1- Only optimizes the scaling factors (T)
2- Only optimizes the distribution of the membership functions (S), assuming that “T”s are already optimized.
3- Only optimizes the rule-base (R), assuming that “T”s and “S”s are already optimized Platform: |
Size: 15360 |
Author:Murtadha |
Hits:
Search - triangular membership function