Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback

doi:10.1049/iet-cta.2018.5347

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback
	Chu, Hongjun 1,2; Chen, Jianliang 3; Wei, Qinglai4 ; Zhang, Weidong 2
发表期刊	IET CONTROL THEORY AND APPLICATIONS
ISSN	1751-8644
	2019
卷号	13 期号:1 页码:69-77
通讯作者	Zhang, Weidong(wdzhang@sjtu.edu.cn)
摘要	This study deals with the protocol design for achieving robust global consensus tracking of multi-agent systems. Agent dynamics are described as general linear systems with actuator saturation and input additive uncertainties and disturbances. Via developing a scheduled low-and-high gain design technique, the state feedback protocol is proposed, under which global consensus tracking and disturbance rejection for such systems can be achieved under the mild assumptions on agent dynamics and network topology. This result is further extended to the case of the reduced-order observer-based protocol design, with the help of the special coordinate basis approach. Finally, the advantages of the proposed protocols are illustrated by a numerical simulation.
关键词	reduced order systems observers multi-agent systems linear systems multi-robot systems actuators robust control state feedback feedback control system synthesis topology robust global consensus tracking input saturation agent dynamics general linear systems actuator saturation input additive uncertainties state feedback protocol disturbance rejection reduced-order observer-based protocol design linear multi-agent systems scheduled low-and-high gain feedback network topology
DOI	10.1049/iet-cta.2018.5347
关键词[WOS]	LEADER-FOLLOWING CONSENSUS ; CONTAINMENT CONTROL ; ACTUATOR SATURATION ; SYNCHRONIZATION ; OBSERVER ; ALGORITHMS ; NETWORKS ; DYNAMICS ; SUBJECT ; DESIGN
收录类别	SCI
语种	英语
资助项目	NUPTSF[NY218145] ; Natural Science Foundation of Hubei Province of China[2017CFB719] ; National Key R&D Program of China[SQ2017YFGH001005] ; National Science Foundation of China[61603253] ; National Science Foundation of China[61471275] ; National Science Foundation of China[61722312] ; National Science Foundation of China[61627810] ; National Science Foundation of China[U1509211] ; National Science Foundation of China[61473183] ; National Science Foundation of China[61473183] ; National Science Foundation of China[U1509211] ; National Science Foundation of China[61627810] ; National Science Foundation of China[61722312] ; National Science Foundation of China[61471275] ; National Science Foundation of China[61603253] ; National Key R&D Program of China[SQ2017YFGH001005] ; Natural Science Foundation of Hubei Province of China[2017CFB719] ; NUPTSF[NY218145]
项目资助者	National Science Foundation of China ; National Key R&D Program of China ; Natural Science Foundation of Hubei Province of China ; NUPTSF
WOS研究方向	Automation & Control Systems ; Engineering ; Instruments & Instrumentation
WOS类目	Automation & Control Systems ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS记录号	WOS:000455640300007
出版者	INST ENGINEERING TECHNOLOGY-IET
引用统计	被引频次：13[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/173211/25332
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Zhang, Weidong
作者单位	1.Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Jiangsu, Peoples R China 2.Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China 3.Wuhan Univ Sci & Technol, Minist Educ, Engn Res Ctr Met Automat & Detecting Technol, Wuhan 430081, Hubei, Peoples R China 4.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Chu, Hongjun,Chen, Jianliang,Wei, Qinglai,et al. Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback[J]. IET CONTROL THEORY AND APPLICATIONS,2019,13(1):69-77.
APA	Chu, Hongjun,Chen, Jianliang,Wei, Qinglai,&Zhang, Weidong.(2019).Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback.IET CONTROL THEORY AND APPLICATIONS,13(1),69-77.
MLA	Chu, Hongjun,et al."Robust global consensus tracking of linear multi-agent systems with input saturation via scheduled low-and-high gain feedback".IET CONTROL THEORY AND APPLICATIONS 13.1(2019):69-77.