{"title":"Distributed Multiscale Formation Optimization for Multiagent Systems","authors":"Zhaoxia Peng;Bofan Wu;Guoguang Wen;Tingwen Huang;Ahmed Rahmani","doi":"10.1109/JSYST.2024.3502074","DOIUrl":null,"url":null,"abstract":"In this article, we study a distributed multiscale formation optimization problem for the multiagent system. The global cost function is subjected to a constraint with an aggregative item, which reveals the degree of aggregation for the multiagent system. A distributed strategy is proposed to optimize the formation configuration at multiple scales, including the position, angle, and size of the formation configuration. The strategy first employs observation and parameter projection technologies to search for the optimal size. Then, it utilizes the gradient and moment to optimize the position and angle of the formation configuration synchronously. Finally, some simulation results are provided to verify the proposed strategy.","PeriodicalId":55017,"journal":{"name":"IEEE Systems Journal","volume":"19 1","pages":"339-342"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Systems Journal","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10771596/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
In this article, we study a distributed multiscale formation optimization problem for the multiagent system. The global cost function is subjected to a constraint with an aggregative item, which reveals the degree of aggregation for the multiagent system. A distributed strategy is proposed to optimize the formation configuration at multiple scales, including the position, angle, and size of the formation configuration. The strategy first employs observation and parameter projection technologies to search for the optimal size. Then, it utilizes the gradient and moment to optimize the position and angle of the formation configuration synchronously. Finally, some simulation results are provided to verify the proposed strategy.
期刊介绍：
This publication provides a systems-level, focused forum for application-oriented manuscripts that address complex systems and system-of-systems of national and global significance. It intends to encourage and facilitate cooperation and interaction among IEEE Societies with systems-level and systems engineering interest, and to attract non-IEEE contributors and readers from around the globe. Our IEEE Systems Council job is to address issues in new ways that are not solvable in the domains of the existing IEEE or other societies or global organizations. These problems do not fit within traditional hierarchical boundaries. For example, disaster response such as that triggered by Hurricane Katrina, tsunamis, or current volcanic eruptions is not solvable by pure engineering solutions. We need to think about changing and enlarging the paradigm to include systems issues.
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