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![]() |
刊名 | INTERNATIONAL JOURNAL OF CONTROL
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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 |
DOI | 10.1080/00207179.2020.1775306 |
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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