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 .
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.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2002年第4期535-538,共4页
Journal of Shanghai Jiaotong University
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
sliding mode control
measuring noise
information fusion
Dempster Shafer (D S) evidential reasoning
fuzzy system
