LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances

doi:10.1080/00207179.2020.1775306

	LMI-based robust adaptive neural network control for Euler-Bernoulli beam with uncertain parameters and disturbances
	Xing, Xueyan 1; Yang, Hongjun2 ; Liu, Jinkun 1; Wang, Shuquan 3
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	被引频次：3[WOS] [WOS记录] [WOS相关记录]
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.