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Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies
Xiong, Tianyi1; Gu, Zhou1; Yi, Jianqiang2,3; Pu, Zhiqiang2,3
Source PublicationNEUROCOMPUTING
ISSN0925-2312
2021-11-06
Volume463Pages:483-494
Corresponding AuthorGu, Zhou(gzh1808@163.com)
AbstractIn this paper, a novel time-varying formation tracking control scheme in fixed-time framework under directed topologies is proposed for multi-agent systems (MASs), with consideration of uncertainties and the absence of the leader's velocity measurements (LVMs). First, a novel cascaded fixed-time state observer (CFTSO) under directed topologies without LVMs is developed for each follower to acquire the estimates of the leader's states (LSs) in a fixed time. Then, minimal learning parameter (MLP) meth-ods combining with radial basis function neural networks (RBFNNs) are utilized to cope with the uncer-tainties. Finally, on the basis of the designed CFTSO and MLP, a new formation control scheme in fixed -time framework under directed topologies is established to solve the time-varying formation tracking control problem. (c) 2021 Elsevier B.V. All rights reserved.
KeywordDirected topologies Formation control Fixed-time observer Multi-agent systems
DOI10.1016/j.neucom.2021.08.081
WOS KeywordFORMATION TRACKING CONTROL ; CONSENSUS TRACKING ; H-INFINITY ; DESIGN
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[62022044] ; National Natural Science Foundation of China[61473-156] ; Jiangsu Natural Science Foundation for Distinguished Young Scholars[BK20190039]
Funding OrganizationNational Natural Science Foundation of China ; Jiangsu Natural Science Foundation for Distinguished Young Scholars
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000696947400005
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/46059
Collection综合信息系统研究中心_飞行器智能技术
Corresponding AuthorGu, Zhou
Affiliation1.Nanjing Forestry Univ, Coll Mech & Elect Engn, Nanjing 210037, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Xiong, Tianyi,Gu, Zhou,Yi, Jianqiang,et al. Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies[J]. NEUROCOMPUTING,2021,463:483-494.
APA Xiong, Tianyi,Gu, Zhou,Yi, Jianqiang,&Pu, Zhiqiang.(2021).Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies.NEUROCOMPUTING,463,483-494.
MLA Xiong, Tianyi,et al."Fixed-time adaptive observer-based time-varying formation control for multi-agent systems with directed topologies".NEUROCOMPUTING 463(2021):483-494.
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