{"title":"Clock Synchronization With Unknown and Unmodeled Disturbances Over Distributed Networks","authors":"Ke Fang;Jianqi Chen;Junfeng Wu","doi":"10.1109/TCNS.2024.3463399","DOIUrl":null,"url":null,"abstract":"The clock synchronization problem has garnered significant attention in the field of multiagent systems due to its aim of establishing a common and reliable framework for facilitating cooperation among different agents. In contrast to previous studies, our primary focus lies in addressing the following question: When we lack prior knowledge about disturbances, what synchronization performance can we achieve compared to a hindsight-based approach? To tackle this challenge, we introduce the concept of <italic>regret</i> as a metric to model and quantify our problem, independent of any assumptions regarding disturbances. We define regret as the measure of deviation from an ideal synchronization outcome. Furthermore, we prove that the problem inherently possesses a lower bound of regret, which remains unaffected by disturbances. By appropriately setting the regret requirement, we can transform the problem into an <inline-formula><tex-math>$\\mathcal {H}_\\infty$</tex-math></inline-formula> optimal control problem equivalently, which allows us to determine the corresponding synchronization strategy. Through simulations, we validate the effectiveness of our method, demonstrating its superiority over existing approaches.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"262-274"},"PeriodicalIF":4.0000,"publicationDate":"2024-09-18","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/10683878/","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}
引用次数: 0
Abstract
The clock synchronization problem has garnered significant attention in the field of multiagent systems due to its aim of establishing a common and reliable framework for facilitating cooperation among different agents. In contrast to previous studies, our primary focus lies in addressing the following question: When we lack prior knowledge about disturbances, what synchronization performance can we achieve compared to a hindsight-based approach? To tackle this challenge, we introduce the concept of regret as a metric to model and quantify our problem, independent of any assumptions regarding disturbances. We define regret as the measure of deviation from an ideal synchronization outcome. Furthermore, we prove that the problem inherently possesses a lower bound of regret, which remains unaffected by disturbances. By appropriately setting the regret requirement, we can transform the problem into an $\mathcal {H}_\infty$ optimal control problem equivalently, which allows us to determine the corresponding synchronization strategy. Through simulations, we validate the effectiveness of our method, demonstrating its superiority over existing approaches.
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.