{"title":"Distributed Event-Triggered Cooperative Output Regulation for Multiagent Systems","authors":"Jiakang Han;Xiaoqun Wu;Bing Mao;Hui Liu;Jinhu Lü","doi":"10.1109/TCNS.2024.3469029","DOIUrl":null,"url":null,"abstract":"The cooperative output regulation problem of heterogeneous nonlinear multiagent systems is investigated by using the distributed event-triggered control. One of the main challenges in solving this problem is removing the restrictions imposed on the exosystem matrix while avoiding using global information. To address this challenge, a distributed event-triggered observer is proposed for each agent to estimate the upper bound of the norm of the exosystem matrix, based on which all agents can obtain the same upper bound in finite time. In particular, two types of distributed event-triggered observers are designed to estimate the exosystem matrix and the exosystem state. Meanwhile, with a clock-like variable being incorporated into the event-triggered mechanism, the existence of a positive minimum interevent time can be guaranteed for each agent. Furthermore, external disturbances with known dynamics can be compensated effectively by the proposed adaptive controllers. A numerical example is finally given to illustrate the effectiveness of the proposed control technique.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"338-350"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10694776/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Distributed Event-Triggered Cooperative Output Regulation for Multiagent Systems
The cooperative output regulation problem of heterogeneous nonlinear multiagent systems is investigated by using the distributed event-triggered control. One of the main challenges in solving this problem is removing the restrictions imposed on the exosystem matrix while avoiding using global information. To address this challenge, a distributed event-triggered observer is proposed for each agent to estimate the upper bound of the norm of the exosystem matrix, based on which all agents can obtain the same upper bound in finite time. In particular, two types of distributed event-triggered observers are designed to estimate the exosystem matrix and the exosystem state. Meanwhile, with a clock-like variable being incorporated into the event-triggered mechanism, the existence of a positive minimum interevent time can be guaranteed for each agent. Furthermore, external disturbances with known dynamics can be compensated effectively by the proposed adaptive controllers. A numerical example is finally given to illustrate the effectiveness of the proposed control technique.
期刊介绍:
The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.