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
发表期刊NEUROCOMPUTING
ISSN0925-2312
2021-11-06
卷号463页码:483-494
通讯作者Gu, Zhou(gzh1808@163.com)
摘要In 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.
关键词Directed topologies Formation control Fixed-time observer Multi-agent systems
DOI10.1016/j.neucom.2021.08.081
关键词[WOS]FORMATION TRACKING CONTROL ; CONSENSUS TRACKING ; H-INFINITY ; DESIGN
收录类别SCI
语种英语
资助项目National Natural Science Foundation of China[62022044] ; National Natural Science Foundation of China[61473-156] ; Jiangsu Natural Science Foundation for Distinguished Young Scholars[BK20190039]
项目资助者National Natural Science Foundation of China ; Jiangsu Natural Science Foundation for Distinguished Young Scholars
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000696947400005
出版者ELSEVIER
引用统计
被引频次:9[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/173211/46059
专题复杂系统认知与决策实验室_飞行器智能技术
通讯作者Gu, Zhou
作者单位1.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
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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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