Xiaozhen Zhang , Qingkai Yang , Fan Xiao , Hao Fang , Jie Chen
{"title":"多代理系统的线性编队控制","authors":"Xiaozhen Zhang , Qingkai Yang , Fan Xiao , Hao Fang , Jie Chen","doi":"10.1016/j.automatica.2024.111935","DOIUrl":null,"url":null,"abstract":"<div><div>This paper proposes a new distributed leader–follower control architecture, termed linear formation control, to realize formation variations. The objective is to navigate a group of agents to reach a specific target formation, which is a linear transformation of the pre-defined nominal configuration, whose dimension can be higher than agents’ coordinates. The proposed architecture enables the formation to adjust through arbitrary linear transformations to accommodate the environment, offering a diverse range of feasible formations. First, we introduce the concept of “linear localizability” that leaders can uniquely determine the target formation. Then, using the pre-defined stress matrix, we propose a linear formation control method, which can be regarded as an extension of recent affine formation control approaches. Next, in the situation where the stress matrix is unavailable, distributed estimators are designed to obtain accurate linear formation parameters. We propose an estimation-driven linear formation control method using the graph Laplacian matrix. Finally, simulations are conducted to verify the effectiveness of the proposed linear formation control schemes.</div></div>","PeriodicalId":55413,"journal":{"name":"Automatica","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linear formation control of multi-agent systems\",\"authors\":\"Xiaozhen Zhang , Qingkai Yang , Fan Xiao , Hao Fang , Jie Chen\",\"doi\":\"10.1016/j.automatica.2024.111935\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper proposes a new distributed leader–follower control architecture, termed linear formation control, to realize formation variations. The objective is to navigate a group of agents to reach a specific target formation, which is a linear transformation of the pre-defined nominal configuration, whose dimension can be higher than agents’ coordinates. The proposed architecture enables the formation to adjust through arbitrary linear transformations to accommodate the environment, offering a diverse range of feasible formations. First, we introduce the concept of “linear localizability” that leaders can uniquely determine the target formation. Then, using the pre-defined stress matrix, we propose a linear formation control method, which can be regarded as an extension of recent affine formation control approaches. Next, in the situation where the stress matrix is unavailable, distributed estimators are designed to obtain accurate linear formation parameters. We propose an estimation-driven linear formation control method using the graph Laplacian matrix. Finally, simulations are conducted to verify the effectiveness of the proposed linear formation control schemes.</div></div>\",\"PeriodicalId\":55413,\"journal\":{\"name\":\"Automatica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.8000,\"publicationDate\":\"2024-09-25\",\"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/S0005109824004291\",\"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/S0005109824004291","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}
This paper proposes a new distributed leader–follower control architecture, termed linear formation control, to realize formation variations. The objective is to navigate a group of agents to reach a specific target formation, which is a linear transformation of the pre-defined nominal configuration, whose dimension can be higher than agents’ coordinates. The proposed architecture enables the formation to adjust through arbitrary linear transformations to accommodate the environment, offering a diverse range of feasible formations. First, we introduce the concept of “linear localizability” that leaders can uniquely determine the target formation. Then, using the pre-defined stress matrix, we propose a linear formation control method, which can be regarded as an extension of recent affine formation control approaches. Next, in the situation where the stress matrix is unavailable, distributed estimators are designed to obtain accurate linear formation parameters. We propose an estimation-driven linear formation control method using the graph Laplacian matrix. Finally, simulations are conducted to verify the effectiveness of the proposed linear formation control schemes.
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.