Fault detection and isolation for Unmanned Aerial Vehicle sensors by using extended PMI filter | |
Guo, Dingfei2; Wang, Yuin1; Zhong, Maying2 | |
2018-08 | |
会议日期 | 2018-8-29 |
会议地点 | Warsaw, Poland |
关键词 | Unmanned aerial vehicles kinematics model proportional multiple integral sensors fault detection and isolation |
卷号 | 51 |
期号 | 24 |
英文摘要 | Fault detection and isolation (FDI) plays an important role in guaranteeing system |
会议录 | IFAC-PapersOnline
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语种 | 英语 |
URL标识 | 查看原文 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/47457] ![]() |
专题 | 仿生进化机器人 |
通讯作者 | Zhong, Maying |
作者单位 | 1.Beihang University 2.Institute of Automation Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Guo, Dingfei,Wang, Yuin,Zhong, Maying. Fault detection and isolation for Unmanned Aerial Vehicle sensors by using extended PMI filter[C]. 见:. Warsaw, Poland. 2018-8-29. |
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