{"title":"具有缺失测量的多代理系统的混合触发输出反馈遏制控制","authors":"Arumugam Parivallal;Sangwoon Yun;Yoon Mo Jung","doi":"10.1109/TSIPN.2024.3355747","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate the output feedback containment control problem for multi-agent systems with missing measurements. The primary objective is to design a hybrid-triggered controller that not only reduces the unwanted data transmission but also ensures the required control performance. The proposed hybrid-triggered controller is developed by combining the time-triggered and event-triggered schemes using a Bernoulli random variable. Utilizing Lyapunov stability theory, we derive sufficient conditions to ensure the containment control of the considered multi-agent system. Finally, we verify the derived theoretical results through two numerical examples.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"10 ","pages":"108-118"},"PeriodicalIF":3.0000,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid-Triggered Output Feedback Containment Control for Multi-Agent Systems With Missing Measurements\",\"authors\":\"Arumugam Parivallal;Sangwoon Yun;Yoon Mo Jung\",\"doi\":\"10.1109/TSIPN.2024.3355747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we investigate the output feedback containment control problem for multi-agent systems with missing measurements. The primary objective is to design a hybrid-triggered controller that not only reduces the unwanted data transmission but also ensures the required control performance. The proposed hybrid-triggered controller is developed by combining the time-triggered and event-triggered schemes using a Bernoulli random variable. Utilizing Lyapunov stability theory, we derive sufficient conditions to ensure the containment control of the considered multi-agent system. Finally, we verify the derived theoretical results through two numerical examples.\",\"PeriodicalId\":56268,\"journal\":{\"name\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"volume\":\"10 \",\"pages\":\"108-118\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Signal and Information Processing over Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10403956/\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal and Information Processing over Networks","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10403956/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Hybrid-Triggered Output Feedback Containment Control for Multi-Agent Systems With Missing Measurements
In this paper, we investigate the output feedback containment control problem for multi-agent systems with missing measurements. The primary objective is to design a hybrid-triggered controller that not only reduces the unwanted data transmission but also ensures the required control performance. The proposed hybrid-triggered controller is developed by combining the time-triggered and event-triggered schemes using a Bernoulli random variable. Utilizing Lyapunov stability theory, we derive sufficient conditions to ensure the containment control of the considered multi-agent system. Finally, we verify the derived theoretical results through two numerical examples.
期刊介绍:
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.