摘要
将一种基于三角形隶属函数的T—S模糊系统用于非线性系统的辨识中。该方法可以很方便地确定输入空间的划分及隶属函数的形状,并且对于给定的输入量系统输出的计算只需要少量的推理规则参与,减少了计算量。最后通过仿真实例说明本方法的有效性。
Appling a kind of T-S fuzzy system based on triangular membership functions to the identification of nonlinear systems. This method fix on the partition of input spaces and the shape of membership functions conveniently, and calculates the output of system with a few inference rules for certain inputs, and decreases the calculation. Finally, simulation examples show the effectiveness of the method.
出处
《微计算机信息》
北大核心
2006年第09S期290-292,共3页
Control & Automation
关键词
T-S模糊模型
模糊辨识
三角形隶属函数
T-S fuzzy model,fuzzy identification,triangular membership functions
