| 基于自适应重叠系数的T-S 模型在线辨识算法及应用 |
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| 引用本文： | 梁炎明,刘丁,伍光宇.基于自适应重叠系数的T-S 模型在线辨识算法及应用[J].控制与决策,2012,27(9):1425-1428. |
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| 作者姓名： | 梁炎明 刘丁 伍光宇 |
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| 作者单位： | 西安理工大学自动化与信息工程学院,西安,710048 |
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| 基金项目： | 国家科技重大专项资金项目(2009ZX02011001) |
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| 摘 要： | 为使T-S模型在线辨识时能够更加合理地划分模糊空间,提出一种根据相邻聚类中心距离确定模糊空间重叠系数的方法.将该方法与一次完成最小二乘法、递推最小二乘法相结合,得到了一种辨识精度较高的T-S模型在线辨识算法.以某型号单晶炉热场的实际运行数据为对象,应用所提出的算法对热场模型进行在线辨识.辨识结果表明,由该辨识算法得到的单晶炉热场模型具有较高的精度.
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| 关 键 词： | T-S模型 在线辨识 自适应重叠系数 聚类 最小二乘 单晶炉热场 |
| 收稿时间： | 2011/1/24 0:00:00 |
| 修稿时间： | 2011/4/27 0:00:00 |
Online T-S model identification algorithm based on adaptive overlap coefficient and its application |
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| LIANG Yan-ming
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LIU Ding
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WU Guang-yu.Online T-S model identification algorithm based on adaptive overlap coefficient and its application[J].Control and Decision,2012,27(9):1425-1428. |
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| Authors: | LIANG Yan-ming LIU Ding WU Guang-yu |
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| Affiliation: | (School of Automation and Information Engineering,Xi’an University of Technology,Xi’an 710048,China. |
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| Abstract: | To more reasonably partition fuzzy spaces during online identification of T-S model,a calculation method on overlap coefficient between two fuzzy spaces is proposed.In this method,the overlap coefficient can be derived by the centre distance between two contiguous clusters.In addition,an online T-S model identification algorithm which has higher identification accuracy can be obtained through the integration of this method,least square(LS)algorithm and recursive least square(RLS) algorithm.Based on the data of thermal field from a single crystal furnace,the thermal field model is on-line identified by this identification algorithm.Simulation results show that the single crystal furnace thermal field model identified by this method has higher precision. |
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| Keywords: | T-S model online identification adaptive overlap coefficient cluster least square single crystal furnace thermal field |
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