SVD based scale transform invariant observable degree for LTI system
文献类型:期刊论文
作者 | Ge, Quanbo1,6; Zhuo, Peng1; He, Hongli5; Hu, Zhentao4; Duan, Zhansheng3; Yu, Junzhi2![]() |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES
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出版日期 | 2020-04-14 |
卷号 | 64期号:3页码:3 |
ISSN号 | 1674-733X |
DOI | 10.1007/s11432-018-9886-8 |
通讯作者 | Duan, Zhansheng(zsduan@mail.xjtu.edu.cn) |
资助项目 | Zhejiang Provincial Natural Science Foundation[LR17F030005] ; National Natural Science Foundation of China[61773147] ; National Natural Science Foundation of China[U1509203] ; Open Project Program of the State Key Laboratory of Management and Control for Complex System |
WOS研究方向 | Computer Science ; Engineering |
语种 | 英语 |
WOS记录号 | WOS:000536505900002 |
出版者 | SCIENCE PRESS |
资助机构 | Zhejiang Provincial Natural Science Foundation ; National Natural Science Foundation of China ; Open Project Program of the State Key Laboratory of Management and Control for Complex System |
源URL | [http://ir.ia.ac.cn/handle/173211/39558] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室 |
通讯作者 | Duan, Zhansheng |
作者单位 | 1.Hangzhou Dianzi Univ, Sch Automat, Hangzhou 310018, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Complex Syst Management & Control, Beijing 100190, Peoples R China 3.Xi An Jiao Tong Univ, Ctr Informat Engn Sci Res, Xian 710049, Peoples R China 4.Henan Univ, Coll Comp & Informat Engn, Kaifeng 475004, Peoples R China 5.Chinese Flight Test Estab, Test Inst, Xian 710089, Peoples R China 6.Guangdong Ocean Univ, Shenzhen Inst, Shenzhen 518108, Peoples R China |
推荐引用方式 GB/T 7714 | Ge, Quanbo,Zhuo, Peng,He, Hongli,et al. SVD based scale transform invariant observable degree for LTI system[J]. SCIENCE CHINA-INFORMATION SCIENCES,2020,64(3):3. |
APA | Ge, Quanbo,Zhuo, Peng,He, Hongli,Hu, Zhentao,Duan, Zhansheng,&Yu, Junzhi.(2020).SVD based scale transform invariant observable degree for LTI system.SCIENCE CHINA-INFORMATION SCIENCES,64(3),3. |
MLA | Ge, Quanbo,et al."SVD based scale transform invariant observable degree for LTI system".SCIENCE CHINA-INFORMATION SCIENCES 64.3(2020):3. |
入库方式: OAI收割
来源:自动化研究所
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