Dynamic asynchronous edge-based event-triggered consensus of multi-agent systems

被引:11
作者
Xia, Lina [1 ,2 ]
Li, Qing [1 ]
Song, Ruizhuo [2 ]
Feng, Yue [3 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Key Lab Knowledge Automat Ind Proc, Minist Educ, Beijing 100083, Peoples R China
[2] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing Engn Res Ctr Ind Spectrum Imaging, Beijing 100083, Peoples R China
[3] Xiamen Univ, Sch Aerosp Engn, Xiamen 361102, Fujian, Peoples R China
基金
中国国家自然科学基金;
关键词
MASs; Asynchronous static; dynamic-gain; Edge -based event -triggered; Uniformly positive MIET; Zeno behavior; BIPARTITE OUTPUT SYNCHRONIZATION; TRACKING;
D O I
10.1016/j.knosys.2023.110531
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper studies the asynchronous edge-based dynamic event-triggered consensus problems for multi-agent systems (MASs) with general linear dynamics. First, the static-gain edge-based protocol is proposed to assure that the agents achieve consensus asymptotically and that a uniformly positive minimum inter-event time (MIET) exists under the corresponding dynamic triggering mechanism. Then, to remove the requirement for the global information associated with the graph, an asynchronous edge-based event-triggered consensus control law that involves a dynamic gain is developed. A novel triggering mechanism that includes two dynamic parameters and a class of positive L1 functions under no Zeno behavior is further proposed to determine triggering instants of each edge in the graph. In addition, the continuous communication link is avoided. Finally, the application in a group of fixed-wing aircraft illustrates the validity of the theoretical results.(c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:11
相关论文
共 54 条
[1]   Distributed gradient descent method with edge-based event-driven communication for non-convex optimization [J].
Adachi, T. ;
Hayashi, N. ;
Takai, S. .
IET CONTROL THEORY AND APPLICATIONS, 2021, 15 (12) :1588-1598
[2]   Synchronization of Multiagent Systems Using Event-Triggered and Self-Triggered Broadcasts [J].
Almeida, Joao ;
Silvestre, Carlos ;
Pascoal, Antonio .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (09) :4741-4746
[3]  
[Anonymous], 2012, Optimal control
[4]   Robust Dynamic Event-Triggered Coordination With a Designable Minimum Interevent Time [J].
Berneburg, James ;
Nowzari, Cameron .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2021, 66 (08) :3417-3428
[5]   The Bipartite Edge-Based Event-Triggered Output Tracking of Heterogeneous Linear Multiagent Systems [J].
Cai, Yuliang ;
Zhang, Huaguang ;
Su, Hanguang ;
Zhang, Juan ;
He, Qiang .
IEEE TRANSACTIONS ON CYBERNETICS, 2023, 53 (02) :967-978
[6]   Global Fuzzy Adaptive Consensus Control of Unknown Nonlinear Multiagent Systems [J].
Chen, Jiaxi ;
Li, Junmin ;
Yuan, Xinxin .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 28 (03) :510-522
[7]   Containment control for second-order multi-agent systems with intermittent sampled position data under directed topologies [J].
Chen, Tongtong ;
Wang, Fuyong ;
Xia, Chengyi ;
Chen, Zengqiang .
KNOWLEDGE-BASED SYSTEMS, 2022, 257
[8]   Cooperative Output Regulation of Heterogeneous Multi-Agent Systems With Adaptive Edge-Event-Triggered Strategies [J].
Cheng, Bin ;
Li, Zhongkui ;
Wang, Xiangke .
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (10) :2199-2203
[9]   Coordinated Tracking Control With Asynchronous Edge-Based Event-Triggered Communications [J].
Cheng, Bin ;
Li, Zhongkui .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (10) :4321-4328
[10]   Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks [J].
Cheng, Bin ;
Li, Zhongkui .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (04) :1655-1662