{"title":"集群形成的饱和分布式中心点跟踪控制及其在 VTOL 无人机中的应用","authors":"Jingyuan Wang;Wei Wang;Yao Zou;Xiuyu He","doi":"10.1109/TNSE.2024.3461858","DOIUrl":null,"url":null,"abstract":"To improve flexibility and adaptability of the multi-agent formation, this paper studies the centroid tracking problem of cluster formation. In particular, a team of agents are separated into multiple clusters, and the clustered agents are coordinated such that i) each cluster forms a prescribed configuration, ii) all the cluster centroids form another prescribed configuration, and iii) the centroid of the whole team tracks a reference trajectory. The agents are characterized by second-order dynamics. In addition, heterogenous input saturation levels are considered into the multi-agent system. A saturated distributed control algorithm resorting to three distributed observers is proposed. The first two distributed observers with proper initial conditions enable each agent to accurately obtain the centroid of its corresponding cluster and that of the whole team. And the third distributed observer helps each agent get the accurate reference acceleration information. It is demonstrated that the proposed saturated distributed control algorithm guarantees the accomplishment of the centroid tracking objective of cluster formation. Besides, we apply the proposed saturated distributed control algorithm to the clustered VTOL AAV formation. Simulation results finally verify the effectiveness of the proposed saturated distributed control algorithm.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"11 6","pages":"5850-5862"},"PeriodicalIF":6.7000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Saturated Distributed Centroid Tracking Control of Cluster Formation and Its Application to VTOL AAVs\",\"authors\":\"Jingyuan Wang;Wei Wang;Yao Zou;Xiuyu He\",\"doi\":\"10.1109/TNSE.2024.3461858\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To improve flexibility and adaptability of the multi-agent formation, this paper studies the centroid tracking problem of cluster formation. In particular, a team of agents are separated into multiple clusters, and the clustered agents are coordinated such that i) each cluster forms a prescribed configuration, ii) all the cluster centroids form another prescribed configuration, and iii) the centroid of the whole team tracks a reference trajectory. The agents are characterized by second-order dynamics. In addition, heterogenous input saturation levels are considered into the multi-agent system. A saturated distributed control algorithm resorting to three distributed observers is proposed. The first two distributed observers with proper initial conditions enable each agent to accurately obtain the centroid of its corresponding cluster and that of the whole team. And the third distributed observer helps each agent get the accurate reference acceleration information. It is demonstrated that the proposed saturated distributed control algorithm guarantees the accomplishment of the centroid tracking objective of cluster formation. Besides, we apply the proposed saturated distributed control algorithm to the clustered VTOL AAV formation. Simulation results finally verify the effectiveness of the proposed saturated distributed control algorithm.\",\"PeriodicalId\":54229,\"journal\":{\"name\":\"IEEE Transactions on Network Science and Engineering\",\"volume\":\"11 6\",\"pages\":\"5850-5862\"},\"PeriodicalIF\":6.7000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Network Science and Engineering\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10682087/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10682087/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Saturated Distributed Centroid Tracking Control of Cluster Formation and Its Application to VTOL AAVs
To improve flexibility and adaptability of the multi-agent formation, this paper studies the centroid tracking problem of cluster formation. In particular, a team of agents are separated into multiple clusters, and the clustered agents are coordinated such that i) each cluster forms a prescribed configuration, ii) all the cluster centroids form another prescribed configuration, and iii) the centroid of the whole team tracks a reference trajectory. The agents are characterized by second-order dynamics. In addition, heterogenous input saturation levels are considered into the multi-agent system. A saturated distributed control algorithm resorting to three distributed observers is proposed. The first two distributed observers with proper initial conditions enable each agent to accurately obtain the centroid of its corresponding cluster and that of the whole team. And the third distributed observer helps each agent get the accurate reference acceleration information. It is demonstrated that the proposed saturated distributed control algorithm guarantees the accomplishment of the centroid tracking objective of cluster formation. Besides, we apply the proposed saturated distributed control algorithm to the clustered VTOL AAV formation. Simulation results finally verify the effectiveness of the proposed saturated distributed control algorithm.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.