| 基于正交最小二乘和UD分解的模糊建模方法 |
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| 引用本文： | 王宏伟,马广富.基于正交最小二乘和UD分解的模糊建模方法[J].控制与决策,2003,18(6):758-760,763. |
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| 作者姓名： | 王宏伟 马广富 |
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| 作者单位： | 1. 海尔集团,技术中心控制技术研究所,山东,青岛,266101
2. 哈尔滨工业大学,控制工程系,黑龙江,哈尔滨,150001 |
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| 摘 要： | 通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。通过分析正交向量在模型中贡献的大小确定聚类规则的有效性，然后采用基于UD分解的最小二乘确定模糊模型的后件参数，实现模糊模型的结构和参数的优化。该方法已成功地应用于Box-Jenkins煤气炉的数据系统建模。
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| 关 键 词： | 模糊建模 矩阵的正交分解 矩阵UD分解 模糊聚类 |
| 文章编号： | 1001-0920(2003)06-0758-03 |
Fuzzy modeling based on orthogonal least square and UD decomposition |
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| WANG Hong-wei,MA Guang-fu.Fuzzy modeling based on orthogonal least square and UD decomposition[J].Control and Decision,2003,18(6):758-760,763. |
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| Authors: | WANG Hong-wei MA Guang-fu |
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| Abstract: | The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square. The validity of clustering rules is made certain by means of analyzing effort of orthogonal vectors in fuzzy model. The least square based UD decomposition is used to confirm the consequent parameters of fuzzy model. The proposed method is successfully used to build Box-Jenkins's model of gas furnace. |
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| Keywords: | Fuzzy modeling Orthogonal decomposition for matrix UD decomposition for matrix Fuzzy clustering |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
