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Evidence-theory-based robust optimization and its application in micro-electromechanical systems

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成果类型:
期刊论文
作者:
Huang, Zhiliang;Xu, Jiaqi;Yang, Tongguang;Li, Fangyi*;Deng, Shuguang
通讯作者:
Li, Fangyi
作者机构:
[Huang, Zhiliang; Xu, Jiaqi; Yang, Tongguang; Deng, Shuguang] Hunan City Univ, Sch Mech & Elect Engn, Yiyang 413002, Peoples R China.
[Huang, Zhiliang] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 40082, Hunan, Peoples R China.
[Li, Fangyi] Changsha Univ Sci & Technol, Sch Vehicle & Mech Engn, Changsha 410076, Hunan, Peoples R China.
通讯机构:
[Li, Fangyi] C
Changsha Univ Sci & Technol, Sch Vehicle & Mech Engn, Changsha 410076, Hunan, Peoples R China.
语种:
英文
关键词:
Epistemic uncertainty;Evidence theory;Robust optimization;Sensor design
期刊:
Applied Sciences-Basel
ISSN:
2076-3417
年:
2019
卷:
9
期:
7
基金类别:
Major Program of National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [51490662]; Educational Commission of Hunan Province of China [18A403, 17A036, 17C0044]; Natural Science Foundation of Hunan Province of ChinaNatural Science Foundation of Hunan Province [2016JJ2012, 2017JJ2022, 2019JJ40296, 2019JJ40014]
机构署名:
本校为第一机构
院系归属:
机械与电气工程学院
摘要:
The conventional engineering robustness optimization approach considering uncertainties is generally based on a probabilistic model. However, a probabilistic model faces obstacles when handling problems with epistemic uncertainty. This paper presents an evidence-theory-based robustness optimization (EBRO) model and a corresponding algorithm, which provide a potential computational tool for engineering problems with multi-source uncertainty. An EBRO model with the twin objectives of performance and robustness is formulated by introducing the per...

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