| 量测噪声情况下基于D-S证据推理信息融合的滑模控制 |
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| 引用本文： | 傅春,谢剑英.量测噪声情况下基于D-S证据推理信息融合的滑模控制[J].上海交通大学学报,2002,36(4):535-538. |
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| 作者姓名： | 傅春 谢剑英 |
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| 作者单位： | 上海交通大学,自动化系,上海,200030 |
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| 摘 要： | 研究了D－S证据推理多传感器信息融合方法在存在量测噪声的滑模控制中的应用，它有助于削弱模函数的不确定性。由于基本可信度函数不能解析获得，用一个模糊系统对其予以等价，模糊规则后件参数由样本数据通过最小二乘法获得。
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| 关 键 词： | 量测噪声 D－S证据推理信息 滑模控制 信息融合 模糊系统 |
| 文章编号： | 1006-2467(2002)04-0535-04 |
| 修稿时间： | 2001年3月29日 |
Sliding Mode Control Based on Information Fusion of D-S Evidential Reasoning with Measuring Noise |
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| FU Chun,XIE Jian ying.Sliding Mode Control Based on Information Fusion of D-S Evidential Reasoning with Measuring Noise[J].Journal of Shanghai Jiaotong University,2002,36(4):535-538. |
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| Authors: | FU Chun XIE Jian ying |
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| Abstract: | The application of multisensor information fusion of Dempster Shafer evidential reasoning to sliding mode control with measuring noise was investigated, which helps to depress the uncertainty of the sliding mode function. Because the basic probability function could not be gotten analytically, a fuzzy system replaces it and the fuzzy rules' consequent parameters are gotten by the least squares method based on sampling data. |
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| Keywords: | sliding mode control measuring noise information fusion Dempster Shafer (D S) evidential reasoning fuzzy system |
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