Event-Triggered Control for Multi-Agent Systems:Event Mechanisms for Information Transmission and Controller Update
Event-Triggered Control for Multi-Agent Systems: Event Mechanisms for Information Transmission and Controller Update作者机构:State Key Laboratory of Alternate Electrical Power System with Renewable Energy SourcesNorth China Electric Power UniversityBeijing 102206China School of Control and Computer EngineeringNorth China Electric Power UniversityBeijing 102206China
出 版 物:《Journal of Systems Science & Complexity》 (系统科学与复杂性学报(英文版))
年 卷 期:2022年第35卷第3期
页 面:953-972页
核心收录:
学科分类:0711[理学-系统科学] 0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 07[理学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported in part by the National Natural Science Foundation of China under Grant Nos.61873074 and 61903140 in part by the Fundamental Research Funds for the Central Universities under Grant No.2020MS019。
主 题:Consensus control event-triggering mechanism multi-agent systems output feedback
摘 要:This paper investigates the state consensus of linear multi-agent systems in a graph where each agent is equipped with two novel event-triggering mechanisms.Each agent utilizes them to avoid continuous information transmissions with its neighbors and to reduce the frequencies of controller updates,respectively.One of the event-triggering mechanisms defines a threshold of state errors by a constant plus a state-dependent variable.The other event-triggering mechanism introduces a period of rest time after each event.For each agent,both event-triggering mechanisms are fully distributed and are independent of any global information.The authors utilize a co-design approach to deal with the interplay between control gains and parameters in event-triggering mechanisms.With appropriate control gains in control laws and parameters in event-triggering conditions,subsystems employing discrete-time signals from neighbors and discrete-time signals from their controllers achieve the state consensus.Simulations are performed to illustrate the effectiveness of the proposed event-triggering mechanisms.