基于概率抽样仿真异类输入不确定性传播方法  

Unified propagation method based on probability sampling for different kinds of simulation input uncertainties

作　　者：钱晓超[1,2] 李伟[1] 杨明[1] Qian Xiaochao Li Wei Yang Ming(Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China Shanghai Electro-Mechanical Engineering Institute, Shanghai 201109, China)

机构地区：[1]哈尔滨工业大学控制与仿真中心,黑龙江哈尔滨150080 [2]上海机电工程研究所,上海201109

出　　处：《华中科技大学学报（自然科学版）》2016年第12期86-91,共6页Journal of Huazhong University of Science and Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(61403097);中央高校基本科研业务费专项资金资助项目(HIT.NSRIF.2015035)

摘　　要：在已有概率、非概率不确定性描述理论的基础上,针对建模仿真中对不确定性下仿真结果的需求,提出一种基于概率抽样的异类不确定性联合传播方法.给出了基于概率框架的随机变量以及基于非概率框架的区间变量、模糊变量、不精确随机变量、模糊随机变量等不确定性描述方法.针对非概率框架下的不确定性描述方法存在的不确定性传播困难,分别给出了相应的概率框架转化模型.提出一种基于概率抽样的异类不确定性联合传播方法,实现了采用不同不确定性描述方法建模描述的不确定性变量的联合传播.A unified propagation method based on probability sampling for different kinds of uncer-tainties was proposed on the foundation of the existing probability and nonprobability uncertainty de-scription methods .Random variable based on probability framework and interval variable ,fuzzy varia-ble ,imprecise random variable ,fuzzy random variable based on nonprobability framework was pro-posed as the uncertainty description method .The probability framework transformation model was constructed because that the uncertainty description method based on nonprobability framework has the difficult on the propagation .A unified propagation method based on probability sampling was pro-posed to achieve the unified propagating for different kinds of uncertainty variables describing by dif-ferent uncertainty description methods .

关 键 词：输入不确定性 不确定性描述 不确定性传播 概率抽样 仿真 

分 类 号：TP202[自动化与计算机技术—检测技术与自动化装置]