{"title":"有输入约束的多代理系统的主动干扰抑制编队控制","authors":"Caoyuan Gu;Xiang Wu;Wen-An Zhang;Hongjie Ni;Steven X. Ding","doi":"10.1109/TCNS.2024.3432823","DOIUrl":null,"url":null,"abstract":"This article deals with the formation control of multiagent systems (MASs) subject to disturbances and input constraints, and an active disturbance rejection formation control (ADRFC) approach based on distributed observation is proposed. First, the states and disturbances of tracking error systems are estimated by a distributed intermediate estimator (DIE). Second, an improved distributed model-predictive control (IDMPC) is proposed to achieve the formation control of MASs under disturbances and input constraints. Then, the robust ADRFC method is designed by combining the DIE and IDMPC, and the stability of the whole system is analyzed. Finally, experiments are conducted on an MAS consisting of four mobile robots to illustrate the effectiveness and superiority of the proposed method.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"38-50"},"PeriodicalIF":4.0000,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Active Disturbance Rejection Formation Control for Multiagent Systems With Input Constraints\",\"authors\":\"Caoyuan Gu;Xiang Wu;Wen-An Zhang;Hongjie Ni;Steven X. Ding\",\"doi\":\"10.1109/TCNS.2024.3432823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article deals with the formation control of multiagent systems (MASs) subject to disturbances and input constraints, and an active disturbance rejection formation control (ADRFC) approach based on distributed observation is proposed. First, the states and disturbances of tracking error systems are estimated by a distributed intermediate estimator (DIE). Second, an improved distributed model-predictive control (IDMPC) is proposed to achieve the formation control of MASs under disturbances and input constraints. Then, the robust ADRFC method is designed by combining the DIE and IDMPC, and the stability of the whole system is analyzed. Finally, experiments are conducted on an MAS consisting of four mobile robots to illustrate the effectiveness and superiority of the proposed method.\",\"PeriodicalId\":56023,\"journal\":{\"name\":\"IEEE Transactions on Control of Network Systems\",\"volume\":\"12 1\",\"pages\":\"38-50\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-07-23\",\"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/10607906/\",\"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/10607906/","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}
Active Disturbance Rejection Formation Control for Multiagent Systems With Input Constraints
This article deals with the formation control of multiagent systems (MASs) subject to disturbances and input constraints, and an active disturbance rejection formation control (ADRFC) approach based on distributed observation is proposed. First, the states and disturbances of tracking error systems are estimated by a distributed intermediate estimator (DIE). Second, an improved distributed model-predictive control (IDMPC) is proposed to achieve the formation control of MASs under disturbances and input constraints. Then, the robust ADRFC method is designed by combining the DIE and IDMPC, and the stability of the whole system is analyzed. Finally, experiments are conducted on an MAS consisting of four mobile robots to illustrate the effectiveness and superiority of the proposed method.
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.