基于系统的输入-输出数据，提出一种通过划分输入空间提取模糊规则的方法，并将该方法应用于建模非线性程度较高的干燥过程。

Based on the input-output data of the system, a new method to create fuzzy rules by dividing the input space was proposed and ap plied to modelling of the non-linear drying process.

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利用递推模糊聚类算法实时对系统的输入空间进行模糊划分，利用卡尔曼滤波算法确定参数。

The input space of fuzzy system is partitioned by means of real time recursive fuzzy clustering, and the parameters of fuzzy model are confirmed by Kalman filtering.

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再然后，将小脑模型关节控制器中的空间划分方式进行模糊化处理，提出了一种模糊小脑模型关节控制器；

Thirdly, by fuzzifizing the space division method of cerabellar mode articulation controller , a fuzzy cerabellar mode articulation controller is proposed.

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