Data-sampled time-varying formation for singular multi-agent systems with multiple leaders

被引：0
|
作者：
Sun, Fenglan [1 ,2 ,3 ]
Yu, Xuemei [1 ]
Zhu, Wei [1 ]
Kurths, Jurgen [3 ,4 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Sch Sci, Key Lab Intelligent Anal & Decis Complex Syst, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Key Lab Intelligent Air Ground Cooperat Control Un, Coll Automat, Chongqing 400065, Peoples R China
[3] Potsdam Inst Climate Impact Res, Dept Complex Sci, D-14473 Potsdam, Germany
[4] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany
来源：
NEURAL NETWORKS | 2025年 / 181卷
基金：
中国国家自然科学基金;
关键词：
Singular systems; Time-varying formation; Sampled data; Multiple leaders; FORMATION TRACKING; CONSENSUS;
D O I：
10.1016/j.neunet.2024.106843
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The time-varying formation problem of singular multi-agent systems under sampled data with multiple leaders is investigated in this paper. Firstly, a data-sampled time-varying formation control protocol is proposed in the current study where the communication among followers merely occurred at sampling instants, which can save the controller communication energy significantly. Secondly, necessary and sufficient conditions for the feasibility of the formation function are provided. In addition, an approach is presented to design the formation tracking control under sampled data with multiple leaders. Finally, numerical simulations validate the efficacy of the theoretical results.
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页数：7
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