{"title":"车辆编队可伸缩性能闭环设计","authors":"Jonas Hansson;Emma Tegling","doi":"10.1109/TCNS.2025.3526705","DOIUrl":null,"url":null,"abstract":"This article presents a novel control design for vehicular formations as an alternative to alignment through conventional consensus protocols for second-order systems. The design is motivated by the closed-loop system, which we construct as first-order systems connected in series, and is therefore called <italic>serial consensus.</i> The serial consensus design will guarantee the stability of the closed-loop system under the minimum requirement of the underlying communication graph containing a directed spanning tree, which is not generally true for conventional consensus. As our main result, we show that the serial consensus design gives bounds on the worst-case transient behavior of the formation, which is independent of the number of vehicles and the underlying graph structure. In particular, this shows that the serial consensus design guarantees the string stability of the formation and is, therefore, suitable for directed formations and communication topologies. We show that serial consensus can be implemented through message passing or measurements to neighbors at most two hops away. We illustrate our results through numerical examples.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 2","pages":"1577-1586"},"PeriodicalIF":4.0000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Closed-Loop Design for Scalable Performance of Vehicular Formations\",\"authors\":\"Jonas Hansson;Emma Tegling\",\"doi\":\"10.1109/TCNS.2025.3526705\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents a novel control design for vehicular formations as an alternative to alignment through conventional consensus protocols for second-order systems. The design is motivated by the closed-loop system, which we construct as first-order systems connected in series, and is therefore called <italic>serial consensus.</i> The serial consensus design will guarantee the stability of the closed-loop system under the minimum requirement of the underlying communication graph containing a directed spanning tree, which is not generally true for conventional consensus. As our main result, we show that the serial consensus design gives bounds on the worst-case transient behavior of the formation, which is independent of the number of vehicles and the underlying graph structure. In particular, this shows that the serial consensus design guarantees the string stability of the formation and is, therefore, suitable for directed formations and communication topologies. We show that serial consensus can be implemented through message passing or measurements to neighbors at most two hops away. We illustrate our results through numerical examples.\",\"PeriodicalId\":56023,\"journal\":{\"name\":\"IEEE Transactions on Control of Network Systems\",\"volume\":\"12 2\",\"pages\":\"1577-1586\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2025-01-07\",\"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/10830290/\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Control of Network Systems","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10830290/","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}
Closed-Loop Design for Scalable Performance of Vehicular Formations
This article presents a novel control design for vehicular formations as an alternative to alignment through conventional consensus protocols for second-order systems. The design is motivated by the closed-loop system, which we construct as first-order systems connected in series, and is therefore called serial consensus. The serial consensus design will guarantee the stability of the closed-loop system under the minimum requirement of the underlying communication graph containing a directed spanning tree, which is not generally true for conventional consensus. As our main result, we show that the serial consensus design gives bounds on the worst-case transient behavior of the formation, which is independent of the number of vehicles and the underlying graph structure. In particular, this shows that the serial consensus design guarantees the string stability of the formation and is, therefore, suitable for directed formations and communication topologies. We show that serial consensus can be implemented through message passing or measurements to neighbors at most two hops away. We illustrate our results through numerical examples.
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.