.png){kind=icon}
返回
Fuzzy uncertainty in forward dynamics simulation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ymssp.2019.02.036.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, fuzzy uncertainty in forward dynamics simulation is considered. The output of the dynamical system - a fuzzy function - is determined on the basis of alpha-discretisation together with alpha-level optimisation. A new method for an efficient realisation of alpha-level optimisation is developed, which is applicable to arbitrary time integration schemes. The method, called 'Graph Follower', is based on combinations of local optimisations and time integration steps. Different formulations of the underlying alpha-level optimisation problem are derived and examined. In particular, an approximative description of the output as a function of the parameters is introduced, which enables a significant reduction of the numerical complexity of the developed method. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
Epistemic uncertainty
Forward dynamics simulation
Fuzzy differential equations
alpha-level optimisation
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.3W
被引数:
6.6W
机构
.png){kind=icon}
查看更多内容