中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations

文献类型:期刊论文

作者Zhouhua Peng; Mingao Lv; Lu Liu; Dan Wang
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:1页码:290-293
ISSN号2329-9266
DOI10.1109/JAS.2023.123051
源URL[http://ir.ia.ac.cn/handle/173211/50747]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Zhouhua Peng,Mingao Lv,Lu Liu,et al. Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(1):290-293.
APA Zhouhua Peng,Mingao Lv,Lu Liu,&Dan Wang.(2023).Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations.IEEE/CAA Journal of Automatica Sinica,10(1),290-293.
MLA Zhouhua Peng,et al."Data-Driven Learning Extended State Observers for Nonlinear Systems: Design, Analysis and Hardware-in-Loop Simulations".IEEE/CAA Journal of Automatica Sinica 10.1(2023):290-293.

入库方式: OAI收割

来源:自动化研究所

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