{"title":"Formation Control in Agents' Local Coordinate Frames for Arbitrary Initial Attitudes","authors":"Chinmay Garanayak;Dwaipayan Mukherjee","doi":"10.1109/TCNS.2024.3431416","DOIUrl":null,"url":null,"abstract":"In this article, we address formation tracking control in agents' body coordinate frames while imposing no assumptions, such as positive definiteness on agents' initial attitude matrix. Difficulty in achieving formation control is exacerbated when agents are unable to access their absolute attitudes relative to a common frame of reference, and initial attitude matrices are required to be restricted to special sets. Addressing this issue, we present a distributed fixed-time attitude synchronization law, which utilizes only relative attitude measurements to align the agents' coordinate frames almost globally in finite time and locally in fixed time. The proposed law ensures the global asymptotic convergence of formation tracking error for displacement-based formation control in a leader–follower topology. We also establish global uniformly asymptotic stability for bearing-only formation tracking. A Lyapunov-based attitude estimation algorithm is proposed to estimate the attitudes up to a common reference frame in finite time without using Gram–Schmidt orthogonalization. For nonholonomic agents, formation stabilization in agents' local coordinate frame is studied using these attitude estimates and bearing-only measurements. Finally, to illustrate the applicability of our results, simulations are presented.","PeriodicalId":56023,"journal":{"name":"IEEE Transactions on Control of Network Systems","volume":"12 1","pages":"993-1005"},"PeriodicalIF":4.0000,"publicationDate":"2024-07-19","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/10605040/","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}
引用次数: 0
Abstract
In this article, we address formation tracking control in agents' body coordinate frames while imposing no assumptions, such as positive definiteness on agents' initial attitude matrix. Difficulty in achieving formation control is exacerbated when agents are unable to access their absolute attitudes relative to a common frame of reference, and initial attitude matrices are required to be restricted to special sets. Addressing this issue, we present a distributed fixed-time attitude synchronization law, which utilizes only relative attitude measurements to align the agents' coordinate frames almost globally in finite time and locally in fixed time. The proposed law ensures the global asymptotic convergence of formation tracking error for displacement-based formation control in a leader–follower topology. We also establish global uniformly asymptotic stability for bearing-only formation tracking. A Lyapunov-based attitude estimation algorithm is proposed to estimate the attitudes up to a common reference frame in finite time without using Gram–Schmidt orthogonalization. For nonholonomic agents, formation stabilization in agents' local coordinate frame is studied using these attitude estimates and bearing-only measurements. Finally, to illustrate the applicability of our results, simulations are presented.
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.