Adaptive Event-Triggered Time-Varying Output Group Formation Containment Control of Heterogeneous Multiagent SystemsOACSTPCDEI
In this paper,a class of time-varying output group formation containment control problem of general linear hetero-geneous multiagent systems(MASs)is investigated under directed topology.The MAS is composed of a number of tracking leaders,formation leaders and followers,where two different types of leaders are used to provide reference trajectories for movement and to achieve certain formations,respectively.Firstly,compen-sators are designed whose states are estimations of tracking lead-ers,based on which,a controller is developed for each formation leader to accomplish the expected formation.Secondly,two event-triggered compensators are proposed for each follower to evalu-ate the state and formation information of the formation leaders in the same group,respectively.Subsequently,a control protocol is designed for each follower,utilizing the output information,to guide the output towards the convex hull generated by the forma-tion leaders within the group.Next,the triggering sequence in this paper is decomposed into two sequences,and the inter-event intervals of these two triggering conditions are provided to rule out the Zeno behavior.Finally,a numerical simulation is intro-duced to confirm the validity of the proposed results.
Lihong Feng;Bonan Huang;Jiayue Sun;Qiuye Sun;Xiangpeng Xie;
College of Information Science and Engineering,Northeastern University,Shenyang 110819,ChinaCollege of Information Science and Engineering,Northeastern University,Shenyang 110819,China IEEECollege of Automation and College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China IEEE
计算机与自动化
Adaptive controlevent-triggered mechanismsfor-mation containment(FC)heterogeneous multiagent systemstime-varying group formation.
《IEEE/CAA Journal of Automatica Sinica》 2024 (006)
P.1398-1409 / 12
supported in part by the National Key Research and Development Program of China(2018YFA0702200);the National Natural Science Foundation of China(52377079,62203097,62373196)。
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