中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances

文献类型:期刊论文

作者Xing, Xueyan2; Yang, Hongjun1; Liu, Jinkun2; Wang, Shuquan3
刊名INTERNATIONAL JOURNAL OF CONTROL
出版日期2020-06-16
页码10
关键词Distributed parameter systems boundary control LMIs robust adaptive neural network control
ISSN号0020-7179
DOI10.1080/00207179.2020.1775306
通讯作者Liu, Jinkun(ljk@buaa.edu.cn)
英文摘要This paper is concerned with the stabilisation problem of an Euler-Bernoulli beam with uncertain parameters and disturbances. To correctly represent the beam's behaviour, the partial differential equations model is utilised for the control design of the beam without missing any high-order mode information. Then the linear matrix inequalities (LMIs) method is applied to the robust adaptive neural network control design to cope with systematic uncertainties and stabilise the beam system with disturbance compensation. Through resolving LMIs, feasible sets of designed control parameters can be effectively obtained without model linearisation. Finally, numerical simulations are done to validate the effectiveness of the proposed control.
WOS关键词VIBRATION CONTROL ; CONTROL DESIGN ; STRING SYSTEM ; MANIPULATOR ; BOUNDARY
资助项目National Natural Science Foundation of China[61873296] ; CAS Prospective Deployment Project[ZDRW-KT-2019-1-010402]
WOS研究方向Automation & Control Systems
语种英语
WOS记录号WOS:000544537100001
出版者TAYLOR & FRANCIS LTD
资助机构National Natural Science Foundation of China ; CAS Prospective Deployment Project
源URL[http://ir.ia.ac.cn/handle/173211/40022]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
通讯作者Liu, Jinkun
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China
3.Technol & Engn Ctr Space Utilizat, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Xing, Xueyan,Yang, Hongjun,Liu, Jinkun,et al. LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances[J]. INTERNATIONAL JOURNAL OF CONTROL,2020:10.
APA Xing, Xueyan,Yang, Hongjun,Liu, Jinkun,&Wang, Shuquan.(2020).LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances.INTERNATIONAL JOURNAL OF CONTROL,10.
MLA Xing, Xueyan,et al."LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances".INTERNATIONAL JOURNAL OF CONTROL (2020):10.

入库方式: OAI收割

来源:自动化研究所

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