Knowledge Commons of Institute of Automation,CAS
LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances | |
Xing, Xueyan1; Yang, Hongjun2; Liu, Jinkun1; Wang, Shuquan3 | |
发表期刊 | INTERNATIONAL JOURNAL OF CONTROL |
ISSN | 0020-7179 |
2020-06-16 | |
页码 | 10 |
通讯作者 | Liu, Jinkun(ljk@buaa.edu.cn) |
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. |
关键词 | Distributed parameter systems boundary control LMIs robust adaptive neural network control |
DOI | 10.1080/00207179.2020.1775306 |
关键词[WOS] | VIBRATION CONTROL ; CONTROL DESIGN ; STRING SYSTEM ; MANIPULATOR ; BOUNDARY |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61873296] ; CAS Prospective Deployment Project[ZDRW-KT-2019-1-010402] |
项目资助者 | National Natural Science Foundation of China ; CAS Prospective Deployment Project |
WOS研究方向 | Automation & Control Systems |
WOS类目 | Automation & Control Systems |
WOS记录号 | WOS:000544537100001 |
出版者 | TAYLOR & FRANCIS LTD |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40023 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
通讯作者 | Liu, Jinkun |
作者单位 | 1.Beihang Univ, Sch Automat Sci & Elect Engn, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, 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. |
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