Adaptive Time-Varying Formation Tracking Control for Multiagent Systems With Nonzero Leader Input by Intermittent Communications

被引:62
作者
Zhang, Juan [1 ]
Zhang, Huaguang [1 ,2 ]
Sun, Shaoxin [3 ]
Cai, Yuliang [4 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Liaoning, Peoples R China
[3] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[4] Liaoning Univ, Sch Math & Stat, Shenyang 110036, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
Time-varying systems; Multi-agent systems; Adaptive control; Task analysis; Trajectory; Sun; Protocols; edge-event triggered mechanism (EETM); fully distributed protocol; multiagent systems (MASs); MOBILE ROBOTS; CONSENSUS; SCHEME;
D O I
10.1109/TCYB.2022.3165212
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The time-varying formation (TVF) tracking problem is studied for linear multiagent systems (MASs), where followers reach a preset TVF when tracking the leader's state. Followers are divided into the informed ones, which directly receive the leader's information, and uninformed ones. To alleviate communication requirements, trigger mechanisms are designed for the leader and all edges. Note that the designed trigger mechanisms enable the leader to send information intermittently and each follower to transmit information asynchronously when the corresponding trigger mechanism is satisfied. To address the TVF tracking problem, the node-event (for the leader) and (dynamic) edge-event triggered adaptive control strategy is proposed, which is fully distributed and has no relation to the system network's scale. Moreover, the MASs do not exhibit the Zeno behavior. Finally, a practice example is introduced to effectively illustrate the theoretical results.
引用
收藏
页码:5706 / 5715
页数:10
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