{"title":"多跳通信的弹性分布式状态估计","authors":"","doi":"10.1016/j.automatica.2024.111823","DOIUrl":null,"url":null,"abstract":"<div><p>This paper investigates the problem of resilient distributed state estimation for a linear system in multi-hop communication networks. First, we introduce a graph-theoretic property, called multiple-hop strong robustness, to formalize the notion of communication and measurement redundancy in multi-hop communication networks. Second, we propose multi-hop communication-based resilient distributed state estimation strategies in the synchronous network and the asynchronous network with time delays, respectively. We provide necessary and sufficient conditions on the network topologies under which the regular agents can still asymptotically estimate the state vector of the system despite the existence of adversarial agents using the property of multiple-hop strong robustness. In contrast to the 1-hop communication-based strategies in the existing results, the proposed multi-hop communication-based strategies can reduce the communication redundancy requirement on the network and accelerate convergence. Finally, we present two examples to verify the effectiveness of the proposed strategies.</p></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Resilient distributed state estimation with multi-hop communication\",\"authors\":\"\",\"doi\":\"10.1016/j.automatica.2024.111823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper investigates the problem of resilient distributed state estimation for a linear system in multi-hop communication networks. First, we introduce a graph-theoretic property, called multiple-hop strong robustness, to formalize the notion of communication and measurement redundancy in multi-hop communication networks. Second, we propose multi-hop communication-based resilient distributed state estimation strategies in the synchronous network and the asynchronous network with time delays, respectively. We provide necessary and sufficient conditions on the network topologies under which the regular agents can still asymptotically estimate the state vector of the system despite the existence of adversarial agents using the property of multiple-hop strong robustness. In contrast to the 1-hop communication-based strategies in the existing results, the proposed multi-hop communication-based strategies can reduce the communication redundancy requirement on the network and accelerate convergence. Finally, we present two examples to verify the effectiveness of the proposed strategies.</p></div>\",\"PeriodicalId\":55413,\"journal\":{\"name\":\"Automatica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Automatica\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0005109824003170\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automatica","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0005109824003170","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Resilient distributed state estimation with multi-hop communication
This paper investigates the problem of resilient distributed state estimation for a linear system in multi-hop communication networks. First, we introduce a graph-theoretic property, called multiple-hop strong robustness, to formalize the notion of communication and measurement redundancy in multi-hop communication networks. Second, we propose multi-hop communication-based resilient distributed state estimation strategies in the synchronous network and the asynchronous network with time delays, respectively. We provide necessary and sufficient conditions on the network topologies under which the regular agents can still asymptotically estimate the state vector of the system despite the existence of adversarial agents using the property of multiple-hop strong robustness. In contrast to the 1-hop communication-based strategies in the existing results, the proposed multi-hop communication-based strategies can reduce the communication redundancy requirement on the network and accelerate convergence. Finally, we present two examples to verify the effectiveness of the proposed strategies.
期刊介绍:
Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field.
After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience.
Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.