【摘要】 提出了一种新的基于T S模糊模型的建模方法.该方法是基于输入空间的模糊划分计算给定样本在各模糊子空间的隶属度,并利用正交最小二乘辨识模糊模型的结论参数.最后通过Box Jenkins煤气炉数据和Mackey Glass混沌时间序列的仿真结果验证了该方法的有效性与实用性.更多还原

【Abstract】 <Abstrcat> This paper proposes a new fuzzy modeling method based on T-S fuzzy model. This method is based on fuzzy partition of input space, and calculates the grade of membership of given patterns in each fuzzy subspace. The consequence parameter identification is obtained by orthogonal least square. Finally, the effectiveness and practicability of this method is demonstrated by the simulation results of the Box-Jenkins gas furnace data and the Mackey-Glass chaotic time series.更多还原